Explore exciting machine learning job opportunities. Machine learning roles are in high demand across various sectors, including technology, finance, healthcare, and manufacturing. These positions involve developing algorithms, creating predictive models, and implementing machine learning techniques to solve complex problems. Job seekers can find roles such as 208 Machine Learning jobs in Canada
Machine Learning Developer
Posted 2 days ago
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25WD85433
**25WD85433, Développeur en apprentissage automatique**
_French translation to follow!/Traduction française à venir!_
**Aperçu du poste**
Autodesk est à la tête de la transformation de l'industrie AEC, en intégrant la technologie de l'IA dans nos produits. Nous améliorons nos applications avec des capacités cloud-natives, y compris les données à l'échelle, l'edge computing, les solutions basées sur l'IA, et la modélisation et les graphiques 3D avancés. IA, ainsi que la modélisation et le graphisme 3D avancés. Cette innovation Cette innovation concerne nos produits phares - AutoCAD, Revit et Construction Cloud - ainsi que Forma, notre nouveau produit Industry Cloud. Cloud - et Forma, notre nouveau Cloud industriel.
En tant qu'ingénieur en apprentissage automatique au sein de l'équipe AEC Solutions, vous rejoindrez une équipe de technologues pour aider à construire les fondations de la technologie. équipe de technologues pour aider à construire des modèles de base et des outils d'IA générative pour l'industrie AEC. générative pour l'industrie AEC. Vous travaillerez en collaboration pour créer et Vous travaillerez en collaboration pour créer et interpréter des données de conception qui peuvent améliorer les flux de travail de conception et d'ingénierie.
Rapport: Vous serez rattaché(e) au responsable de l'apprentissage automatique au sein de l'unité Architecture, ingénierie et construction (AEC).
Architecture, Engineering, and Construction (AEC) Solutions Team.
Lieu de travail : Nous soutenons le travail hybride et vous travaillez près de nos bureaux de Boston,
Massachusetts ou de Toronto, Canada.
**Responsabilités**
+ Collaborer avec d'autres ingénieurs pour développer des pipelines et des architectures de données évolutives
+ Travailler avec des ensembles de données à grande échelle, y compris des données textuelles et géométriques, pour soutenir le prétraitement, l'augmentation, l'analyse et la compréhension du contenu
+ Vous êtes en charge de la conception et de l'exécution d'expériences de modélisation, de l'évaluation des performances et de l'itération sur la base des résultats obtenus
+ Surveillez, dépannez et optimisez les modèles d'apprentissage automatique pour garantir la précision, l'efficacité et une faible latence
+ Effectuer l'analyse des besoins, travailler avec des membres de l'équipe de différents niveaux et documenter les solutions
+ Communiquer vos résultats par le biais d'analyses de données quantitatives, de visuels qualitatifs et d'aperçus
+ Mettre en œuvre des approches agiles garantissant la flexibilité et la réactivité face à l'évolution des besoins du projet
**Qualifications minimales**
+ Une maîtrise en apprentissage automatique, en intelligence artificielle, en mathématiques, en statistiques, en informatique ou dans un domaine connexe
+ 3 - 5+ années d'expérience en ingénierie de l'apprentissage automatique ou dans un domaine connexe
+ Expertise dans la formation de réseaux neuronaux profonds, tels que les CNN et les Transformers, avec une maîtrise des bibliothèques et des cadres modernes d'apprentissage profond (par exemple, PyTorch, Lightning, Ray)
+ Expérience des LLM et des technologies connexes, y compris les cadres, les modèles d'intégration, les bases de données vectorielles et les systèmes RAG (Retrieval-Augmented Generation)
+ Expérience de la modélisation, de l'architecture et du traitement des données à l'aide de diverses représentations de données, y compris la géométrie 2D/3D
+ Expérience des services en nuage AWS et de SageMaker Studio pour le traitement évolutif des données et le développement de modèles
+ Solide compréhension des algorithmes informatiques fondamentaux et de leurs comportements de mise à l'échelle
+ Excellentes compétences en codage dans des langages procéduraux et orientés vers l'analyse de données (par exemple, Python)
+ Capacité à traduire des concepts théoriques en solutions pratiques et en prototypes de mise en œuvre
+ Solides compétences en matière de documentation du code, des architectures et des expériences
+ Expérience en architecture, ingénierie ou construction
+ Expérience pratique de la préparation des données, de la sélection des hyperparamètres, des techniques d'accélération et des méthodes d'optimisation
+ Expérience de la distribution parallèle d'algorithmes à l'aide de plateformes telles que Spark ou Hadoop
+ Expérience pratique dans le développement d'algorithmes d'apprentissage automatique à grande échelle
**Le candidat idéal**
+ Vous êtes passionné par la résolution de problèmes pour les clients AEC (Architecture, Ingénierie et Construction) en appliquant des techniques d'apprentissage automatique
+ Vous êtes à l'aise pour travailler dans des domaines nouveaux et ambigus où l'apprentissage et l'adaptabilité sont des compétences clés
+ Vous collaborez facilement avec les autres et êtes à l'aise avec un minimum de directives
+ Vous vous efforcez constamment d'apprendre de nouvelles technologies et méthodologies
+ Vous cherchez de nouvelles façons de résoudre des problèmes difficiles
+ Vous n'avez pas peur d'exprimer vos idées et d'échouer rapidement
---
**25WD85433, Machine Learning Developer**
**Position Overview**
Autodesk is leading the transformation of the AEC industry, integrating AI
technology into our products. We're enhancing our applications with cloud-
native capabilities, including data at scale, edge computing, AI-based
solutions, and advanced 3D modeling and graphics. This innovation is
happening across our flagship products-AutoCAD, Revit, and Construction
Cloud-and Forma, our new Industry Cloud.
As a Machine Learning Engineer on the AEC Solutions team, you will join a
team of technologists to help build foundation models and generative AI
tools for the AEC industry. You will work collaboratively to create and
interpret design data that can enhance design and engineering workflows.
Report: You will report to the Machine Learning Manager in the
Architecture, Engineering, and Construction (AEC) Solutions Team.
Location: We support hybrid work, and you work near our Boston,
Massachusetts or Toronto, Canada offices.
**Responsibilities**
+ Collaborate with other engineers to develop scalable data pipelines and architectures
+ Work with large-scale datasets including text and geometric data, to support preprocessing, augmentation, analysis and content understanding
+ Write production-quality code for model training, testing, and deployment.Design and execute model experiments, evaluate performance, and iterate based on findings
+ Monitor, troubleshoot, and optimize machine learning models to ensure accuracy, efficiency, and low latency
+ Perform requirements analysis, working with team members of different levels and documenting solutions
+ Communicate your findings through quantitative data analysis and qualitative visuals and insights
+ Implement agile approaches ensuring flexibility and responsiveness toevolving project needs
**Minimum Qualifications**
+ An MS in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, or a related field
+ 3 - 5+ years of experience in machine learning engineering or a related field
+ Expertise in training deep neural networks, such as CNNs and Transformers, with proficiency in modern deep learning libraries and frameworks (e.g., PyTorch, Lightning, Ray)
+ Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems
+ Experience in data modeling, architecture, and processing using various data representations, including 2D/3D geometry
+ Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development
+ Strong understanding of fundamental computer science algorithms and their scaling behaviors
+ Excellent coding skills in both procedural and data-analytics-oriented languages (e.g., Python)
+ Ability to translate theoretical concepts into practical solutions and prototype implementations
+ Strong documentation skills for code, architectures, and experiment
+ Background in Architecture, Engineering, or Construction
+ Practical experience in data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
+ Experience in parallel distribution of algorithms using platforms such as Spark or Hadoop
+ Practical experience in developing high scale machine learning algorithms
**The Ideal Candidate**
+ You are passionate about solving problems for AEC (Architecture, Engineering, and Construction) customers by applying machine learning techniques
+ You are comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
+ You easily collaborate with others and are comfortable with minimal direction
+ You are constantly striving to learn new technologies and methodologies
+ You seek new ways to solve hard problems
+ You are unafraid to put your ideas out there and fail fast
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Bienvenue à Autodesk ! Des choses incroyables sont créées chaque jour avec nos logiciels - des bâtiments les plus écologiques et des voitures les plus propres aux usines les plus intelligentes et aux plus grands films à succès. Nous aidons les innovateurs à transformer leurs idées en réalité, transformant non seulement la façon dont les choses sont faites, mais ce qui peut être fait.
Nous sommes très fiers de notre culture ici chez Autodesk - notre code en matière de culture est au cœur de tout ce que nous faisons. Nos valeurs et nos méthodes de travail aident nos employés à prospérer et à réaliser leur potentiel, ce qui conduit à des résultats encore meilleurs pour nos clients.
Lorsque vous êtes un employé Autodesk, vous pouvez être entier et authentique et effectuer un travail significatif qui aide à construire un avenir meilleur pour tous. Prêt à façonner le monde et votre avenir? Joignez-vous à nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
Le salaire est l'un des éléments de l'offre compétitive d'Autodesk. Les offres sont basées sur l'expérience et la situation géographique du candidat. Outre les salaires de base, nous accordons également une grande importance aux primes annuelles discrétionnaires en espèces, aux commissions pour les fonctions de vente, aux actions ou aux primes d'encouragement à long terme en espèces, ainsi qu'à un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance et un milieu de travail équitable où tout le monde peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).
Machine Learning Engineer
Posted 9 days ago
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Job Description
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $190,000 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 research centre 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 research broadly 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 always looking for people 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. Our team is building standardized frameworks to launch AI models that have real-world impact. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
**Day-to-day as a Machine Learning Engineer:**
+ Join a world-class team of AI developers with an extensive track record.
+ 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.
**Job Requirements**
What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:
+ Minimum three years of experience delivering major data science projects in large, complex organizations
+ Strong communication, business acumen and stakeholder management competencies
+ Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices
+ Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture a plus
+ A track record of driving product adoption and growth
+ Familiarity with cloud solution architecture, Azure a plus
+ Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience a plus
+ Master's degree data science, artificial intelligence, computer science or equivalent 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.
Machine Learning Engineer
Posted today
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Job Description
Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.
Key Responsibilities:
- Design, develop, and implement machine learning models using Spark ML for predictive analytics
- Build and optimize end-to-end training and inference pipelines on distributed platforms
- Process and analyze large datasets to uncover insights and engineer effective features
- Work closely with data engineers to integrate ML models into existing data pipelines
- Fine-tune models and hyperparameters to maximize performance and accuracy
- Develop scalable solutions for both real-time and batch inference
- Continuously monitor deployed models and address any performance issues
- Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing
Required Qualifications:
- 10+ years of experience as a Machine Learning Engineer or similar role
- Expertise in Apache Spark and Spark MLlib
- Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
- Hands-on experience with distributed systems such as Hadoop
- Proficiency in Python, Scala, or Java
- Strong grasp of data preprocessing and feature engineering methodologies
- Familiarity with model evaluation metrics and production deployment practices
- In-depth knowledge of distributed computing and parallel processing principles
Machine Learning Engineer
Posted today
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Job Description
Job Description
Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
As a Machine Learning engineer, you’ll work on data ingestion and processing using various Natural Language Processing (NLP) tools. You will also work on building AI agents, fine-tuning LLMs, and building chatbots.
Key responsibilities include:
Design, build, and maintain AI Agents using Langchain and other similar tools.
Fine-tune and test LLMs on various verticals explored by Qorsa.
Develop and deploy applications using Docker and Kubernetes.
Improve on our existing technologies including data processing, natural language pipelines, and building knowledge graphs
Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
Company DescriptionQorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.
Machine Learning Engineer
Posted 1 day ago
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Job Description
Salary:
"Im thrilled to welcome a new Machine Learning Engineer to our team! This role is perfect for someone passionate about driving trust and safety research. Were looking for someone with an applied mindset to join our diverse, cross-functional team, helping turn research into practical outputs that make an impact. I cant wait to see the contributions youll bring to Amii!"
Alyssa Lefaivre kopac, Director of AI Trust and Safety
About Amii
Alberta Machine Intelligence Institute (Amii) is one of Canadas three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
About the Role
Reporting to the Director of AI Trust and Safety, the ML Engineer will drive the development and execution of research and applied projects within the Trust and Safety portfolio. This role is pivotal in advancing state-of-the-art trust and safety research and delivering high-impact applied outputs.
As part of a rapidly growing team, the ML Engineer will play a central role in shaping the portfolio. The work will begin with a strong emphasis on research and will evolve toward developing applied tools and outputs as research findings are translated into practical, applied solutions. The ML Engineer will collaborate closely with senior engineering and research leaders to perform research, develop applied outputs, manage infrastructure, create training materials, and support the technical growth of both individuals and the organization.
In addition to hands-on technical work, the ML Engineer will work alongside the Director, Engineering and Director, AI Trust and Safety to develop strategies and best practices for optimizing our tools, frameworks, and services.
The role focuses on achieving excellence in three main accountabilities:
- Infrastructure and Systems Management
- Applied Research and Development
- Technical Coaching and Collaboration
Required Skills / Expertise
Key Responsibilities:
- Work with the Director, AI Trust and Safety and Applied Research Scientists to scope and define safety-focused project goals that balance foundational research with applied value.
- Perform research activities by implementing experiments, adapting models, and maintaining reproducible, well-documented code.
- Design and deliver training on AI/ML workflows for safety research, helping researchers optimize processes and infrastructure usage. Design and maintain data pipelines and compute environments to support safety-focused research, experimentation, and validation.
- Collaborate with internal teams and external partners to deliver practical tools, frameworks, and other applied outputs with real-world impact.
- Lead the engineering of safety tools and inference systems, ensuring outputs from safety research are secure, reliable, interoperable, and considered for real-world Trust & Safety applications.
- Develop and maintain model evaluation frameworks tailored to Trust & Safety research questions and use cases.
- Document systems, workflows, and best practices to ensure reproducibility, transparency, and effective knowledge sharing.
- Prepare and manage datasets including curation, preprocessing, and synthetic data generation to accelerate safety research.
- Collaborate with cross-functional teams to productize safety research outputs, build supporting tooling, and enable adoption by end users.
- Provide technical coaching, mentorship, and code reviews to staff, students, and partners on safety-focused ML development.
Qualifications:
- Post-graduate degree in Computer Science, Information Technology, Data Science, or a related field
- 3+ years of experience in ML engineering, with a strong track record in researching, designing, implementing, optimizing, and evaluating machine learning (ML) and reinforcement learning (RL) algorithms in both simulated and real-world environments.
- Demonstrated professional proficiency in developing and applying deep learning and RL algorithms using Python and modern machine learning frameworks (e.g., PyTorch, JAX, TensorFlow), with expertise in RL libraries and simulation environments (e.g., Gymnasium, MuJoCo, Stable-Baselines3, Dopamine, PureJaxRL), complemented by strong competency in Git-based version control and Unix/Linux environments.
- Experience working in academic or industry research environments, collaborating closely with research scientists.
- Advanced Degrees or Certifications in High-Performance Computing (HPC), Computer Science, ML/AI or Cloud Infrastructure are an asset
- Proven ability translating research concepts into tools, prototypes, or systems considered for real-world use.
- Experience optimizing ML systems and tools for scalability, reliability, and resource efficiency.
- Source Code Analysis: Proficiency in analyzing the source code of AI-based software
- Interest in or exposure to the Trust & Safety landscape and its practical applications
Attributes and Expectations:
- Advanced critical thinking and problem-solving skills
- Strong interpersonal communication skills for effective collaboration with internal teams and external stakeholders. Operates with integrity and trust
- Passion for designing effective learning exercises, technical concept illustrations, training, and evaluation tools
- Ability to manage multiple competing priorities in a fast-paced environment
- Demonstrates professional maturity, resourcefulness, and self-discipline in pursuing organizational goals
- A curious mindset with a keen interest in testing new educational tools and technologies
- Shows presence, self-confidence, sound judgment, and superior problem-solving abilities
- Fosters high-level cross-functional collaboration and establishes credibility while influencing peers to achieve common goals
What you'll love about us
- A professional yet casual work environment that encourages the growth and development of your skills.
- Participate in professional development activities
- Gain access to the Amii community and events
- A chance to learn from amazing teammates who support one another to succeed.
- Competitive compensation, including paid time off and flexible health benefits.
- A modern office located in downtown Edmonton, Alberta.
How to Apply
Were excited to add a new member to the Amii team for this role! We are keeping the door open to new applicants until we find the right fit. When sending your application, please send your CV and cover letter indicating why you think you'd be a fit for Amii. In your cover letter, please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.
Machine Learning Engineer
Posted 1 day ago
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Job Description
Salary:
Come join Home Trust Company as a Machine Learning Engineerin our Data & Analytics team!
Home Trust Company has developed a track record of success as Canadas leading alternative lender, employing nearly 800 people in our Toronto headquarters and branches across the country. Building on the demonstrated strength of its core residential mortgage lending business, the Company also offers complementary lending services, as well as highly competitive deposit investment products, through Oaken Financial. Our culture has been shaped by the passion and integrity of our people. Home Trust is a private company.
FIRST THING WHAT YOU NEED TO SUCCEED?
We are looking for individuals who are dedicated, passionate, and driven to execute with excellence!
WE CARE ABOUT OUR EMPLOYEES WELL-BEING, WHAT WE OFFER:
- Base salary, with yearly incentive performance bonus
- Three (3) weeks of vacation, an additional six (6) flex days (sick or personal) in addition to statutory holidays
- Comprehensive benefit packages, offered through Manulife
- Group Retirement Savings Plan (GRSP) up to 8% contribution program & employer match
- $1000 Employee Referral Program
- Employee Discounts; phone plans, gym membership, Toronto Bike Share and many retailer discounts offered through WorkPerks
- Education Assistance program
ABOUT THE ROLE:
The Machine Learning Engineer role brings strong communication, analytic and technical skills. This role bridges the gap between data engineering and data science, requiring a deep knowledge of data processing, cloud platforms and machine learning technologies. The role encompasses both the development of machine learning models and the creation and maintenance of scalable data pipelines. Strong expertise in platforms such as Databricks, Azure, Python frameworks (Pandas, Numpy, etc.), Spark, is essential. Collaboration with data scientists, data engineers, data architects and software developers as well as business stakeholders is key to this role.
In addition:
- Design, develop and deploy machine learning models that address business challenges and add value to HTC objectives.
- Develop and maintain scalable data pipelines, ensuring data quality, reliability, and timeliness. Transform data into usable datasets for ML model development.
- Utilize platforms such as Databricks, Python, Azure for ML model development.
- Analyze large complex datasets to extract actionable insights and create innovative machine learning solutions.
- Refine and optimize existing ML and AI models and algorithms for performance and scalability.
- Monitor models for performance, accuracy and relevance.
- Collaborate with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into production systems.
- Attend departmental meetings, learning events, participate in technical/professional activities as required.
- Create technical documentation for reference and reporting.
- Make sure models are free from biases and respect privacy and ethical guidelines.
- Perform research and development in latest trends in AI/ML, data science and data engineering to ensure companys and departments technological competitiveness.
WHAT WE REQUIRE:
- Authorized to work in Canada
- Great communication skills
- Bachelors or Masters degree in a STEM field (Computer Science, Engineering, Statistics, Mathematics, or a related field)
- 2+ years of experience in similar field
- Proven experience as a Machine Learning Engineer or a similar role (Data Engineering and/or data science). Proficiency in programming languages such as SQL, Python, Spark, R, SAS, etc.
- Solid understanding of machine learning frameworks (TensorFlow, PyTorch, or Keras).
- Experience with cloud platforms such as GCP, AWS, Azure. Experience with Big Data technologies such as Snowflake, Databricks, Hadoop, Spark, or similar.
PREREQUISITE: Maintain a positive supportive attitude, help to maintain an inclusive and supportive company culture!
Follow us on LinkedIn: Home Trust Company: My Company | LinkedIn
Machine Learning Engineer
Posted today
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Job Description
Salary: $100,000-$25,000+ yearly salary + benefits (See below for more details)
About us:
Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:
NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.
Job Overview:
As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.
You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.
You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.
You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.
What youll do:
- Own development of production-grade ML and AI systems from data to deployment.
- Build automated pipelines for training, feature engineering, and model serving.
- Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
- Optimize systems for performance, latency, and cost.
- Collaborate with cross-functional stakeholders to scope projects and communicate results.
- Monitor, retrain, and improve models based on feedback and system metrics.
What You Should Already Have:
- Experience deploying machine learning models into production systems.
- Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
- Strong understanding of model lifecycle, MLOps, and data pipeline design.
- Skills in inference optimization.
- Ability to collaborate with data, product, and business teams on impactful ML features.
- Experience with testing, monitoring, and CI/CD for ML systems.
- Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
- Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.
What We Will Give You:
- Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
- Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
- GRSP matching program to support your long-term financial goals.
- Transit-Friendly Employer (Transit allowance).
- A modern, collaborative workspace in the heart of downtown Vancouver.
- Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.
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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.
Thank you for your interest! We appreciate your time and look forward to reviewing your application!
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