Senior Machine Learning Engineer
Ville : Vancouver
Industrie : Financial/Banking
Employeur : Vancity
Our Story & Purpose:
We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.
As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!
Your Role in Supporting Our Members:
As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support business decision-making, automation, and operational efficiency. This role is highly hands-on and best suited for an engineer who can design, build, deploy, and operationalize machine learning models in enterprise production environments. You will work across the full ML lifecycle, including model development, feature engineering, MLOps, deployment automation, monitoring, and continuous improvement of machine learning systems. Success in this role is measured by scalable, reliable, and production-ready machine learning solutions—not proof-of-concepts or experimentation alone
This is a Full-time, Permanent role and will report directly to the Manager, Data Science & AI. This position is remote and open to candidates located in British Columbia or Ontario. While this position provides a remote work arrangement, you will be expected to be on-site for events and business demands
How You'll Make an Impact:
- Applying Data Science and Machine Learning best practices to develop robust models and support data-driven decision-making across business domains
- Applying machine learning and data science techniques such as forecasting, predictive modeling, classification, regression, recommendation, and optimization to solve business problems
- Conducting experiments and evaluating models using appropriate statistical, technical, and business performance metrics
- Architecting, building, deploying, and maintaining scalable machine learning models and AI solutions integrated into enterprise systems, applications, and operational workflows
- Designing and implementing end-to-end ML workflows, including data preparation, feature engineering, model training, validation, deployment, optimization, and continuous monitoring in a high-scale production environment
- Developing reusable machine learning components, feature pipelines, and model-serving frameworks to support multiple use cases and teams
- Designing and implementing production-grade MLOps solutions using Azure ML, Databricks, MLflow, and related cloud technologies
- Building and maintaining automated ML pipelines, feature engineering workflows, feature store patterns, and deployment processes for training, testing, monitoring, and retraining machine learning models
- Implementing standards and best practices for model versioning, lifecycle management, governance, deployment automation, model performance monitoring, drift detection, data quality, operational health, and retraining triggers
- Developing production-quality Python code, APIs, automation workflows, and machine learning services to integrate ML capabilities into business applications and processes
What You’ll Bring to the Team:
- 10+ years of experience in Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related disciplines
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
- Strong hands-on experience building and deploying cloud-based applications and machine learning services
- Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
- Hands-on experience with industry-standard machine learning and deep learning frameworks such as PyTorch, TensorFlow, and Scikit-learn
- Proven experience productionizing machine learning models and operating scalable, reliable ML systems in enterprise environments
- Hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD pipelines, model lifecycle management, monitoring, and deployment automation
- Strong understanding of API design and service integration, machine learning algorithms, statistical modeling, feature engineering, and model evaluation techniques
- Proven ability to take solutions from prototype to production
Extra Skills That Set You Apart:
- Exposure to machine learning use cases such as churn prediction, forecasting, predictive modeling, member or customer personalization, recommendation systems, marketing optimization, and experimentation frameworks such as A/B testing
- Familiarity with advanced machine learning techniques including anomaly detection, graph neural networks, optimization methods, representation learning, causal inference, and Generative AI workflows
- Experience integrating AI services into automation platforms such as UiPath or Power Automate and familiarity with AWS, GCP, Power BI, or Tableau
You’ll Thrive Here If You Are:
- Production-Focused – You measure success by scalable, reliable, and production-ready machine learning solutions
- Hands-On – You enjoy designing, building, deploying, and operationalizing machine learning solutions from end to end
- Collaborative – You work effectively with data, platform, cloud, security, and business teams to deliver meaningful outcomes
- Technically Curious – You continuously explore emerging technologies, machine learning techniques, and AI innovations
- Quality-Driven – You prioritize engineering excellence, automation, testing, monitoring, and maintainable code
We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.
What You’ll Earn:
This role offers a salary range of $113,100 to $153,000 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.
Why You’ll Love Working Here:
A career at Vancity is more than just a job, you’re joining a tradition of change-makers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:
- Living Wage Employer: We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada&rs