Explore exciting Machine Learning Engineer jobs. These roles involve developing algorithms and models that allow computers to learn from data. Machine learning engineers are in high demand across various industries, including technology, finance, and healthcare, as companies seek to leverage data for better decision-making and automation. This field requires a strong foundation in computer science, mathematics, and statistics.241 Machine Learning Engineer jobs in Canada
Machine Learning Engineer
Vancouver, British Columbia
Mastercard
Posted 4 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer
Toronto, Ontario
TD Bank
Posted 27 days ago
Job Viewed
Job Description
**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Engineer
Vancouver, British Columbia
Apera AI Inc
Posted today
Job Viewed
Job Description
Job Description
Job Description
We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we've been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech "Company of the Year – Growth", we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.
Apera AI is building the future of robotics and AI right here in Vancouver.
Let's End Robot Blindness
Robots can do amazing things, if they can see. That's where you come in.
We're Apera AI. Our breakthrough vision systems turn blind robots into intelligent, adaptable workers. But that transformation doesn't happen without people, especially the ones who teach robots how to learn from data and see the world clearly.
We're looking for a Machine Learning Engineer - Synthetic Data & Training Pipeline to build the systems that connect data quality to model performance. Someone who thrives on experimentation, automation, and impact, turning messy data into intelligence that works on real factory floors.
This is an engineering-first role, not pure research, not isolated modeling. You'll design scalable data pipelines, automate training, and make sure our models trained in simulation succeed in the real world.
What You'll Actually Do
- Build and scale synthetic data generation pipelines that feed our 4D vision models.
- Design and automate ML workflows for data processing, training, and evaluation.
- Experiment with new augmentation and domain adaptation techniques that boost model robustness.
- Collaborate with applied scientists, simulation engineers, and artists to bring data-driven ideas to life.
- Create internal tools for dataset tracking, experiment reproducibility, and training diagnostics.
- Continuously improve - apply AI-driven analytics to optimize data, accelerate iteration, and strengthen model reliability.
Why This is a Career Move (Not Just a Job)
At Apera, we don't just build robots, we build the intelligence that lets them see, adapt, and perform.
Here's what makes this role special:
- It's not just data - it's trust. The pipelines you build decide how confidently manufacturers rely on automation.
- You'll grow fast - at the intersection of ML, simulation, and real-world robotics.
- You'll see your work in action - every factory floor running Apera Vision runs on your models.
- You'll shape how AI learns - designing systems that make synthetic-to-real training faster, smarter, and more scalable.
What We're Looking For
- 3+ years of experience in machine learning, computer vision, or data pipeline development
- Proficiency with Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience building or maintaining synthetic data or simulation-based training pipelines
- Strong understanding of dataset design, augmentation, and experiment tracking
- Hands-on experience with CI/CD, cloud ML tools, or data orchestration frameworks
Bonus points if you have:
- Experience with domain adaptation, data-centric AI, or 3D rendering tool.
- Familiarity with robotics, simulation environments, or digital twins
Why Apera?
- Competitive salary in the range of $100,000 - $130,000 CAD , plus equity and comprehensive benefits.
- Equity for every employee - you share in what we build
- Comprehensive health, dental, and vision coverage
- A chance to make a difference.
At Apera AI, every employee owns equity, because those who build the future should share in its upside. Join us to make robotics more accessible, predictable, and powerful.
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Engineer
Toronto, Ontario
Tiger Analytics
Posted today
Job Viewed
Job Description
Job Description
Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!
What You'll Do:
- Collaborate with cross-functional teams to design and deploy ML models.
- Develop reusable, scalable code for AI/ML applications.
- Leverage GCP services to build end-to-end machine learning pipelines.
- Optimize models for performance and scalability using Vertex AI.
Requirements
Key Requirements:
- Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.
- Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.
- Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.
- API Development: Skilled in developing robust APIs for seamless integrations.
- Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines.
Why Join Us?
- Work remotely while contributing to cutting-edge projects.
- Collaborate with a dynamic team passionate about AI/ML innovation.
- Opportunity to work with the latest Google Cloud technologies.
Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI!
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer I
Toronto, Ontario
TD Bank
Posted 2 days ago
Job Viewed
Job Description
**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $153,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**CUSTOMER**
+ Provide expertise on fundamental engineering practices for the broader AI/ML engineering team and inspire the adoption of ML engineering practice across the organization.
+ Interpret the meaning of new strategic directions and set objectives and measurements.
+ Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements.
+ Gather and analyze information or data on current and future trends of best engineering practices.
+ Seek information on issues impacting the progress of organizational, engineering and process issues.
**SHAREHOLDER**
+ Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
+ Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
+ Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
+ Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
+ Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
+ Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
+ Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
+ Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
+ Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
+ Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
+ Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
**EMPLOYEE / TEAM**
+ Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
+ Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
+ Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
+ Participate in personal performance management and development activities, including cross training within own team.
+ Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
+ Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contribute to a fair, positive and equitable environment that supports a diverse workforce.
+ Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
**BREADTH & DEPTH:**
+ Work autonomously and is accountable for sound knowledge of AI/ML engineering fundamentals, and of various AI/ML engineering frameworks, tools, processes and procedures, as well as organization issues, best engineering practices and business/organization standards.
+ Sound knowledge of applications, systems, innovation, system design activities, best engineering practices, business/organization standard
+ Solves complex problems, takes new perspectives on existing solutions, independently performs tasks from end to end to deliver quality results and meet timelines. May work under guidance of more senior roles.
+ Generally, reports to a Senior Manager or above role.
**EXPERIENCE AND / OR EDUCATION**
+ Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $153,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**CUSTOMER**
+ Provide expertise on fundamental engineering practices for the broader AI/ML engineering team and inspire the adoption of ML engineering practice across the organization.
+ Interpret the meaning of new strategic directions and set objectives and measurements.
+ Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements.
+ Gather and analyze information or data on current and future trends of best engineering practices.
+ Seek information on issues impacting the progress of organizational, engineering and process issues.
**SHAREHOLDER**
+ Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
+ Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
+ Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
+ Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
+ Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
+ Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
+ Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
+ Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
+ Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
+ Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
+ Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
**EMPLOYEE / TEAM**
+ Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
+ Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
+ Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
+ Participate in personal performance management and development activities, including cross training within own team.
+ Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
+ Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contribute to a fair, positive and equitable environment that supports a diverse workforce.
+ Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
**BREADTH & DEPTH:**
+ Work autonomously and is accountable for sound knowledge of AI/ML engineering fundamentals, and of various AI/ML engineering frameworks, tools, processes and procedures, as well as organization issues, best engineering practices and business/organization standards.
+ Sound knowledge of applications, systems, innovation, system design activities, best engineering practices, business/organization standard
+ Solves complex problems, takes new perspectives on existing solutions, independently performs tasks from end to end to deliver quality results and meet timelines. May work under guidance of more senior roles.
+ Generally, reports to a Senior Manager or above role.
**EXPERIENCE AND / OR EDUCATION**
+ Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer II
Ontario, Ontario
TD Bank
Posted 2 days ago
Job Viewed
Job Description
**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$ - $199,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
The goal of the ML Framework team in AI platform, TD Bank is to enable model serving & deployment of robust and high-performing models by providing a solid foundation and allowing for fast iteration of deployment through ML frameworks. We are looking for world-class engineers to take on the challenging problem of shipping core frameworks for both Predictive & GenAI that will be used across the bank for model deployment & serving. The candidate will be one of the primary engineers for the machine learning framework team. They will design critical components of the ML frameworks which will be used across the Bank. The candidate will interact with model developers & other ML, ML/DevOps engineers to develop systems that will satisfy the needs of machine learning model deployments across various projects.
**KEY RESPONSIBILITIES**
+ Own and ship features for ML framework capabilities.
+ Work with product owners and tech leads to design, ship, and refine significant components of the product.
+ Work with model developers, ML/DevOps teams to build, maintain and service the product.
**CUSTOMER**
+ Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates.
+ Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases.
+ Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas.
+ Act as the expert or lead innovator and agent of change for the programs and services under management.
+ Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering.
+ Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.
+ Identify and effectively manage stakeholder engagement and impacts across the enterprise.
+ Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests.
**SHAREHOLDER**
+ Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
+ Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
+ Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
+ Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
+ Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
+ Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
+ Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
+ Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
+ Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
+ Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
+ Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
**EMPLOYEE / TEAM**
+ Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
+ Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
+ Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
+ Participate in personal performance management and development activities, including cross training within own team.
+ Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
+ Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contribute to a fair, positive and equitable environment that supports a diverse workforce.
+ Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
**BREADTH & DEPTH:**
+ Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues.
+ Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
+ Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment.
+ Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise.
+ Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.
+ Generally, reports to a Senior Manager or above role
**EXPERIENCE AND / OR EDUCATION**
+ 3+ Years of industry experience as a Software/ML Engineer leading the development of features.
+ Experience with building and scaling data-intensive software & systems.
+ You value good software & system design and sweat over details in code and API design.
+ You enjoy learning new technology and educating others.
+ You take great personal pride in building robust and scalable software & ML systems.
+ You strive to communicate clearly and with empathy.
+ You are highly accountable and have a strong sense of ownership.
+ You are a self-starter and can independently drive your projects forward.
+ Ability to do detailed code reviews and give thoughtful feedback.
**PREFERRED QUALIFICATIONS:**
+ Experience building a library or a framework.
+ Experience with Big Data technologies and frameworks including but not limited to Spark, flask, Django, FastAPI
+ Experience with Microsoft Azure
+ Comfortable with MLOps.
+ Knowledge of machine learning and deep learning for both predictive & GenAI.
+ Knowledge of distributed systems.
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$ - $199,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
The goal of the ML Framework team in AI platform, TD Bank is to enable model serving & deployment of robust and high-performing models by providing a solid foundation and allowing for fast iteration of deployment through ML frameworks. We are looking for world-class engineers to take on the challenging problem of shipping core frameworks for both Predictive & GenAI that will be used across the bank for model deployment & serving. The candidate will be one of the primary engineers for the machine learning framework team. They will design critical components of the ML frameworks which will be used across the Bank. The candidate will interact with model developers & other ML, ML/DevOps engineers to develop systems that will satisfy the needs of machine learning model deployments across various projects.
**KEY RESPONSIBILITIES**
+ Own and ship features for ML framework capabilities.
+ Work with product owners and tech leads to design, ship, and refine significant components of the product.
+ Work with model developers, ML/DevOps teams to build, maintain and service the product.
**CUSTOMER**
+ Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates.
+ Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases.
+ Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas.
+ Act as the expert or lead innovator and agent of change for the programs and services under management.
+ Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering.
+ Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.
+ Identify and effectively manage stakeholder engagement and impacts across the enterprise.
+ Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests.
**SHAREHOLDER**
+ Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
+ Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
+ Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
+ Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
+ Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
+ Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
+ Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
+ Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
+ Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
+ Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
+ Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
**EMPLOYEE / TEAM**
+ Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
+ Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
+ Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
+ Participate in personal performance management and development activities, including cross training within own team.
+ Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
+ Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contribute to a fair, positive and equitable environment that supports a diverse workforce.
+ Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
**BREADTH & DEPTH:**
+ Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues.
+ Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
+ Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment.
+ Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise.
+ Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.
+ Generally, reports to a Senior Manager or above role
**EXPERIENCE AND / OR EDUCATION**
+ 3+ Years of industry experience as a Software/ML Engineer leading the development of features.
+ Experience with building and scaling data-intensive software & systems.
+ You value good software & system design and sweat over details in code and API design.
+ You enjoy learning new technology and educating others.
+ You take great personal pride in building robust and scalable software & ML systems.
+ You strive to communicate clearly and with empathy.
+ You are highly accountable and have a strong sense of ownership.
+ You are a self-starter and can independently drive your projects forward.
+ Ability to do detailed code reviews and give thoughtful feedback.
**PREFERRED QUALIFICATIONS:**
+ Experience building a library or a framework.
+ Experience with Big Data technologies and frameworks including but not limited to Spark, flask, Django, FastAPI
+ Experience with Microsoft Azure
+ Comfortable with MLOps.
+ Knowledge of machine learning and deep learning for both predictive & GenAI.
+ Knowledge of distributed systems.
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
This advertiser has chosen not to accept applicants from your region.
5
Machine Learning Engineer II
Toronto, Ontario
TD Bank
Posted 2 days ago
Job Viewed
Job Description
**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$ - $199,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
The goal of the ML Framework team in AI platform, TD Bank is to enable model serving & deployment of robust and high-performing models by providing a solid foundation and allowing for fast iteration of deployment through ML frameworks. We are looking for world-class engineers to take on the challenging problem of shipping core frameworks for both Predictive & GenAI that will be used across the bank for model deployment & serving. The candidate will be one of the primary engineers for the machine learning framework team. They will design critical components of the ML frameworks which will be used across the Bank. The candidate will interact with model developers & other ML, ML/DevOps engineers to develop systems that will satisfy the needs of machine learning model deployments across various projects.
**KEY RESPONSIBILITIES**
+ Own and ship features for ML framework capabilities.
+ Work with product owners and tech leads to design, ship, and refine significant components of the product.
+ Work with model developers, ML/DevOps teams to build, maintain and service the product.
**CUSTOMER**
+ Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates.
+ Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases.
+ Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas.
+ Act as the expert or lead innovator and agent of change for the programs and services under management.
+ Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering.
+ Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.
+ Identify and effectively manage stakeholder engagement and impacts across the enterprise.
+ Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests.
**SHAREHOLDER**
+ Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
+ Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
+ Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
+ Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
+ Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
+ Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
+ Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
+ Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
+ Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
+ Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
+ Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
**EMPLOYEE / TEAM**
+ Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
+ Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
+ Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
+ Participate in personal performance management and development activities, including cross training within own team.
+ Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
+ Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contribute to a fair, positive and equitable environment that supports a diverse workforce.
+ Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
**BREADTH & DEPTH:**
+ Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues.
+ Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
+ Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment.
+ Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise.
+ Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.
+ Generally, reports to a Senior Manager or above role
**EXPERIENCE AND / OR EDUCATION**
+ 3+ Years of industry experience as a Software/ML Engineer leading the development of features.
+ Experience with building and scaling data-intensive software & systems.
+ You value good software & system design and sweat over details in code and API design.
+ You enjoy learning new technology and educating others.
+ You take great personal pride in building robust and scalable software & ML systems.
+ You strive to communicate clearly and with empathy.
+ You are highly accountable and have a strong sense of ownership.
+ You are a self-starter and can independently drive your projects forward.
+ Ability to do detailed code reviews and give thoughtful feedback.
**PREFERRED QUALIFICATIONS:**
+ Experience building a library or a framework.
+ Experience with Big Data technologies and frameworks including but not limited to Spark, flask, Django, FastAPI
+ Experience with Microsoft Azure
+ Comfortable with MLOps.
+ Knowledge of machine learning and deep learning for both predictive & GenAI.
+ Knowledge of distributed systems.
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$ - $199,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
The goal of the ML Framework team in AI platform, TD Bank is to enable model serving & deployment of robust and high-performing models by providing a solid foundation and allowing for fast iteration of deployment through ML frameworks. We are looking for world-class engineers to take on the challenging problem of shipping core frameworks for both Predictive & GenAI that will be used across the bank for model deployment & serving. The candidate will be one of the primary engineers for the machine learning framework team. They will design critical components of the ML frameworks which will be used across the Bank. The candidate will interact with model developers & other ML, ML/DevOps engineers to develop systems that will satisfy the needs of machine learning model deployments across various projects.
**KEY RESPONSIBILITIES**
+ Own and ship features for ML framework capabilities.
+ Work with product owners and tech leads to design, ship, and refine significant components of the product.
+ Work with model developers, ML/DevOps teams to build, maintain and service the product.
**CUSTOMER**
+ Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates.
+ Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases.
+ Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas.
+ Act as the expert or lead innovator and agent of change for the programs and services under management.
+ Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering.
+ Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.
+ Identify and effectively manage stakeholder engagement and impacts across the enterprise.
+ Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests.
**SHAREHOLDER**
+ Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
+ Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
+ Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.
+ Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
+ Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
+ Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.
+ Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.
+ Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
+ Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
+ Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
+ Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
+ Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
**EMPLOYEE / TEAM**
+ Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
+ Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
+ Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
+ Participate in personal performance management and development activities, including cross training within own team.
+ Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
+ Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
+ Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
+ Contribute to a fair, positive and equitable environment that supports a diverse workforce.
+ Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
**BREADTH & DEPTH:**
+ Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues.
+ Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
+ Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment.
+ Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise.
+ Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.
+ Generally, reports to a Senior Manager or above role
**EXPERIENCE AND / OR EDUCATION**
+ 3+ Years of industry experience as a Software/ML Engineer leading the development of features.
+ Experience with building and scaling data-intensive software & systems.
+ You value good software & system design and sweat over details in code and API design.
+ You enjoy learning new technology and educating others.
+ You take great personal pride in building robust and scalable software & ML systems.
+ You strive to communicate clearly and with empathy.
+ You are highly accountable and have a strong sense of ownership.
+ You are a self-starter and can independently drive your projects forward.
+ Ability to do detailed code reviews and give thoughtful feedback.
**PREFERRED QUALIFICATIONS:**
+ Experience building a library or a framework.
+ Experience with Big Data technologies and frameworks including but not limited to Spark, flask, Django, FastAPI
+ Experience with Microsoft Azure
+ Comfortable with MLOps.
+ Knowledge of machine learning and deep learning for both predictive & GenAI.
+ Knowledge of distributed systems.
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
This advertiser has chosen not to accept applicants from your region.
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6
Machine Learning Engineer (Canada)
Toronto, Ontario
Tiger Analytics
Posted today
Job Viewed
Job Description
Job Description
Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for a motivated and passionate Machine Learning Engineers for our team.
As part of this job, you will be responsible for:
- Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
- Creating Scalable Machine Learning systems that are highly performant
- Building reusable production data pipelines for implemented machine learning models
- Writing production-quality code and libraries that can be packaged as containers, installed and deployed
Requirements
- Bachelor's degree or higher in computer science or related, with 5+ years of work experience
- Ability to collaborate with Data Engineers and Data Scientist to build data and model pipelines and help running machine learning tests and experiments
- Ability to manage the infrastructure and data pipelines needed to bring ML solution to production
- End-to-end understanding of applications being created and maintain scalable machine learning solutions in production
- Ability to abstract complexity of production for machine learning using containers
- Ability to troubleshoot production machine learning model issues, including recommendations for retrain, revalidate, and improvements
- Experience with Big Data Projects using multiple types of structured and unstructured data
- Ability to work with a global team, playing a key role in communicating problem context to the remote teams
- Excellent communication and teamwork skills
Additional Skills Required:
- Python, Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
- Test-driven development (prefer py. test/nose), experience with Cloud environments
- Proficiency in statistical tools, relational databases, and expertise in programming language like python/SQL is desired.
Good to have:
- Knowledge of ML frameworks like Scikitlearn, Tensorflow, Keras, etc.
- Knowledge of MLflow, Airflow, Kubernetes
- Knowledge on any of the cloud-native MLaaS offerings like AWS SageMaker, AzureML, or Google AI platform
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
This advertiser has chosen not to accept applicants from your region.
7
Senior Machine Learning Engineer
Toronto, Ontario
SADA
Posted today
Job Viewed
Job Description
Job Description
Job Description
Join SADA as a Senior Machine Learning Engineer
Your Mission
As a Senior Machine Learning Engineer at SADA, you will work in a fast-paced, highly-skilled team developing state-of-the-art enterprise solutions. You will work collaboratively with architects and other engineers to recommend, prototype, build, and debug machine learning (ML) solutions on Google Cloud Platform (GCP) for SADA's clients. You will work on real-world data problems, designing and implementing cloud-native ML and AI solutions, with a strong focus on Google's Vertex AI platform and related technologies. This is a hands-on role that includes both architecting and implementing ML/AI solutions, from initial requirements gathering through final model deployment, including iterative measurement and improvement.
You will be responsible for building and deploying ML solutions using cloud ML pipelines, often collaborating with data scientists and data engineers. This role often involves working with large volumes of structured and unstructured data from multiple sources in multiple modalities, requiring you to design and implement data pipelines to clean and merge data for research and modeling. You will provide subject matter expertise and assistance to SADA's clients and your colleagues on artificial intelligence and machine learning topics, participating in client-facing discussions and assisting with technical pre-sales discussions. As an established contributor, you will develop critical components for ML projects, often working independently with minimal oversight.
Machine learning is an extremely dynamic and quick-changing discipline, requiring a passion for continuous learning and a knack for problem-solving. Your approach for learning new technology will be as important as any prior knowledge. While your core focus will be on machine learning and MLOps, the field increasingly intersects with broader artificial intelligence and generative AI concepts. Therefore, familiarity and practical experience with advanced AI topics such as LLM fine-tuning, agentic AI development and multimodal data processing are highly valued and contribute significantly to success in this role.
Your day-to-day will consist of the following activities:
- Implementing machine learning solutions for SADA clients across all project stages, from requirements gathering, discovery, and architecture, to development, testing, and final model deployment, including iterative measurement and improvement
- Recommending, prototyping, building, and debugging machine learning (ML) infrastructures on Google Cloud Platform (GCP)
- Working on real-world data problems by developing custom models or using existing Google ML APIs
- Building and deploying ML solutions using cloud ML pipelines
- Providing subject matter expertise and assistance to SADA clients and colleagues on machine learning topics
- Creating technical documentation and leading solution design discussions
- Assisting with technical pre-sales discussions and the creation of statements of work
Expectations
Customer-Facing - Daily interactions with customers, including standups or sales meetings; at other times, weekly/bi-weekly as for sprint planning, reviews/retrospectives, or demos. These interactions will be with roles ranging from engineers to key executive stakeholders.
Travel - Up to 35% travel to customer sites, conferences, and other related events. Otherwise, this is a remote position and we expect candidates that have demonstrated success working in remote, distributed teams.
Job Requirements
Required Credentials :
- Google Professional Machine Learning Certification (within 90 days of hire)
Required Qualifications :
- 4+ years of relevant work experience designing and implementing Machine Learning solutions, preferably in a technical consulting environment
- Proficiency in Python with extensive experience across data manipulation (e.g., Pandas, Polars, NumPy), scientific computing (e.g., SciPy), and machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch)
- Strong foundational understanding of machine learning principles and hands-on experience with various model types, including supervised, unsupervised, and deep learning architectures
- Experience with data exploration, cleaning, and feature engineering from diverse, often messy, datasets to prepare them for modeling. This includes experience processing, cleansing, and verifying data integrity for analysis
- Familiarity with MLOps practices and tools for model deployment, monitoring, versioning, and pipeline orchestration (e.g., Docker, Kubernetes, Kubeflow, MLflow, Airflow)
- Solid understanding of the Google Cloud Platform for data storage (e.g., Cloud Storage, BigQuery), compute (e.g., Cloud Run, Google Kubernetes Engine), and ML services, particularly Vertex AI and BigQueryML
- Experience working with interactive development environments like JupyterLab and Vertex AI Workbench
- Excellent problem-solving skills with a demonstrated ability to tackle complex, ambiguous challenges across the entire machine learning lifecycle
- Strong consultative skills, including the ability to translate complex ML concepts into actionable business strategies and solutions, and to communicate complex technical concepts to a broad range of internal and external stakeholders
Useful Qualifications :
- Experience with large language models (LLMs) and generative AI concepts, including fine-tuning, prompt engineering, and integrating AI solutions into applications
- Experience in specialized domains of machine learning such as natural language processing, computer vision, time-series analysis, recommender systems or reinforcement learning
- Experience working with other Google Cloud-related data products (Datalab, Dataprep, Cloud Storage, PubSub, Dataflow, Dataproc, etc.)
- Exposure to model serving frameworks such as LLM and FastAPI and GCP services used for model and API serving such as Cloud Run and GKE
About SADA An Insight company
Values: SADA stands for inclusion, fairness, and doing the right thing. From our very beginning, we've championed a diverse workplace where we support and learn from each other, amplifying the impact we make with our customers. We're proud that our teams are composed of contributors who represent a wide array of backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Our three core values are the foundation of everything we do:
- Hunger
- Heart
- Harmony
Work with the Best : SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year . This year, SADA was named a Google Cloud Global Partner of the year 2024. SADA has also been awarded Best Place to Work year after year by the Business Intelligence Group and Inc. Magazine, and was recognized as a Niche Player in the 2023 Gartner® Magic Quadrant™ for Public Cloud IT Transformation Services.
Benefits : Unlimited PTO, paid parental leave, competitive and attractive compensation, performance-based bonuses, paid holidays, generous medical, dental, vision plans, life, short and long-term disability insurance, 401K/RRSP with match, as well as Google-certified training programs and a professional development stipend.
Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for the last 10+ years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads, and 30M+ users migrated to the cloud.
To request reasonable accommodation to participate in the job application or interview process, contact SADA complies with federal and state/provincial disability laws and makes reasonable accommodations for applicants and candidates with disabilities.
This advertiser has chosen not to accept applicants from your region.
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