65 Data Science Manager jobs in Toronto

Application Deadline:

11/09/2025

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This role will require 3-5 days in the Toronto office

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Mathematics, statistics & operations research.
• Deep learning.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.

Advanced level of proficiency:

• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Influence skills.
• Data driven decision making.
• Advanced Python programming skills and extensive experience in predictive modeling is mandatory for this role. Some experience in SAS and AWS sage maker will be an asset.
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary :

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Req ID:
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity** : Job experience at a large Canadian-based global company
+ **Innovation** : We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration** : Students work as part of global teams, enabled by collaborative technology
+ **Sustainability** : We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities** : including soft skills courses, innovation projects and mentorship
+ **Networking** : Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun** : Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this opportunity:**
The **Smart Energy - Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Research Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Req ID:
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity:** Job experience at a large Canadian-based global company
+ **Innovation:** We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration:** Students work as part of global teams, enabled by collaborative technology
+ **Sustainability:** We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities:** including soft skills courses, innovation projects and mentorship
+ **Networking:** Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun:** Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this Opportunity:**
The **Smart Energy - Account Focused, Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. The intern will be assigned to work with a client for the duration of the internship. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send, and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Researching Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Support internal customer requisitions and accurately input data on the products pricing information.
+ Report current, accurate data on internal databases.
+ Track prices for components, monitor the influx of data, and understand what drives cost reduction in daily activities.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

Description
Amazon Advertising is a growing part of Amazon's portfolio of world-class products, serving billions of ad impressions and millions of clicks daily. As the Software Development Manager (SDM) on Measurement Products team, you will be at the forefront of the customer experience leading a team of full-stack developers in delighting our advertising customers.
Our team's mandate is to launch and accelerate adoption of advertising measurement products and services that enhance advertiser experience on Amazon. We are responsible for defining and delivering a collection of self-service performance measurement products that enable Advertisers to understand the impact of their Advertising on consumers. Our products are strategically important to drive long term growth. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a sharp, tech-savvy leader to own and drive execution of the product roadmap. Our product is built with a combination of ReactJS, Javascript, JAVA, and REST. As the leader of a team of Software Development Engineers (SDEs), you won't be coding daily, but you should be comfortable reviewing code, have a strong sense of technical design, and bring appropriate rigor to solving complex customer problems. Strong partnership with Product Managers will further ensure success.
As a people leader, you will build and lead the team, manage performance, and shepherd the careers of your direct reports. Your excellent communication skills will be used to sharpen technical ideas, establish clear priorities, and drive high quality work.
This highly visible role requires frequent communication with senior leadership in order to help shape and deliver on the product roadmap, and technical / business / customer experience goals. You will be given an opportunity to own and drive initiatives through the entire software stack -- from algorithmic innovation, all the way down to the datasets that the back-end services consume. You will also need a pragmatic and iterative approach to building software: an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams.
The ideal candidate is looking for a career where you'll be able to think big, create, build, deliver, and impress. You look at problems holistically, and thrive on the intricate complexity of understanding feedback loops and ecosystems. You want to work on projects where you are implementing solutions to real problems that require creative solutions, deep understanding of the problem space, and challenging yourself and others to constantly come up with better solutions.
Key job responsibilities
Lead the technical strategy of a business critical initiative to design, develop, launch and maintain measurement applications that compute accurate estimates of advertising impact. Work with the data to understand advertiser needs and develop most efficient ways of handling it. Support and improve what your team has built.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**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.

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.

**About the Audit Group:** Join Manulife's Audit and Advisory Services team, where we partner with management to enhance risk control and organizational resilience. We deliver insightful reports to senior management and the Board, reinforcing our commitment to excellence and accountability. Our energetic and collaborative team offers exposure to new business areas and influences business management through diverse projects. We prioritize professional development and innovation, offering opportunities like data analytics training to advance your career.
**About our Audit and Advisory Services Professional Practices Team:** Manulife's Audit and Advisory Services Professional Practices Team supports and enhances the quality and effectiveness of assurance and advisory engagements across the organization by developing and implementing audit methodology and related best practices; standards; quality assurance; training and development; tools and systems used within the department; board and senior management reporting; internal performance metrics' and developing and implementing strategic priorities. The team collaborates with various stakeholders within Audit and Advisory Services and within the company to support the mission and vision of Audit and Advisory Services and the company's strategic objectives. The team is also committed to fostering a diverse and inclusive environment, supporting initiatives that drive organizational excellence.
Join a team committed to your expertise, growth, and development!
**Learning Opportunities:** By implementing advanced analytics and Gen AI tools and programs, the Professional Practices Team contributes to Manulife's mission of becoming the most digital and customer-centric organization in the industry. Our Audit and Advisory Services team provides rich learning opportunities, offering exposure to diverse audit strategies and specialized training. These experiences will enhance your technical and soft skills, preparing you for advancement and new roles within the company.
**Leadership and Stakeholder Exposure:** This role offers a unique opportunity to collaborate directly with members of the Global Leadership Team (GLT) and Executive Leadership Team (ELT). By engaging with senior leaders, you will gain valuable insights and visibility, enhancing your leadership skills and professional growth within the organization.
**Position Responsibilities:**
+ Manage processes and data quality within Archer.
+ Lead the department's effective utilization of the Archer. Champion initiatives to enhance and innovate the user experience with the Audit Management Software, aligning with the department's strategic goals.
+ Ensure the quality and completeness of all communications provided to the Audit Committee, Executive Management, regulators, and other key stakeholders, maintaining high standards of accuracy and relevance.
+ Manage key department programs and processes, including Privacy, Records Management, Business Continuity and Disaster Recovery preparedness.
+ Manage the gathering, reporting, and tracking of information for external regulators.
+ Serve as the audit representative and manage the integration within the Integrated Audit Program (IAP), including managing the process for business hierarchy/audit universe changes.
+ Coordinate and direct the development of the annual financial plan and forecast, overseeing expense management analysis throughout the year to ensure financial targets are achieved.
+ Manage the development of the annual audit plan, including the tracking and reporting of its completion, and manage any adjustments to the plan.
+ Contribute to other improvement initiatives and projects undertaken by the Professional Practices Team, enhancing the efficiency and effectiveness of Audit Practices.
+ Challenges/Opportunities:
+ Driving continuous improvement in quality and cost effectiveness of services provided.
+ Collaborating with Audit Services management and staff to obtain consensus on improvements to the audit systems.
+ Exercising and demonstrating sound business judgment.
+ Prioritization and time management to meet project and objective commitments while maintaining flexibility.
**Required Qualifications:**
+ Demonstrated experience in project and resource management, as well as talent development.
+ Strong analytical and problem-solving skills, with a strategic mindset.
+ Demonstrated ability to work effectively in diverse environments and cultures, over a number of geographically dispersed office locations.
+ Ability to effectively communicate ideas orally and in writing, at Segment and Global Functions levels, and to listen and consider ideas of others.
+ Excellent customer focus and commitment to quality.
+ Results oriented; ability to balance multiple priorities and projects.
+ Strong relationship skills including a demonstrated ability to deal effectively with staff at all levels.
+ Proven project management skills in achieving departmental, project and individual objectives.
**Preferred Qualifications:**
+ Strong communication and interpersonal skills, with the ability to build relationships and influence stakeholders.
+ Exceptional attention to detail
+ Strong experience with database tools, dashboards and SharePoint design / maintenance / programming would be an asset.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
#LI-Hybrid
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$120,750.00 USD - $217,350.00 USD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

**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.

**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.