Senior Machine Learning Engineer

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🔥 35 minutes ago

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Vancity

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1946

🛡️ Insurance

🏦 Banking

🌍 Social Impact

Insurance • Banking • Social Impact

Vancity is a member-owned credit union based in the Vancouver area that provides personal and business banking services including chequing and savings accounts, credit cards, mortgages, loans, investments, and insurance. The institution emphasizes sustainable and socially responsible banking—offering impact-focused investment options, divestment from harmful industries, and allocating a portion of profits to community initiatives such as affordable housing, climate action, reconciliation, and financial inclusion. Vancity also offers digital banking platforms and online services for members and promotes community-focused benefits and member governance.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Living Wage Employer : We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers • Customizable Benefits : Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs • Generous Vacation : New employees start with 3-4 weeks of vacation per year, with additional days earned over time • Extra Stat Holidays : In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness • Immediate Health Coverage : Health and dental benefits begin on your hire date, with three levels of coverage to choose from • Defined Benefit Pension : Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone