Senior Machine Learning Engineer

🕒 July 27

🇨🇦 Canada – Remote

💵 $113.1k - $153k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vancity

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1946

🏦 Banking

💸 Finance

Banking • Finance

Vancity is a member-owned Canadian credit union (Vancouver City Savings Credit Union) that provides consumer and small-business financial services. It offers personal and business banking, mortgages, loans, credit cards (including the enviro™ Visa), savings and investment products (including Qtrade Direct Investing and Guided Portfolios), and digital/mobile banking. Vancity emphasizes values-driven banking and community impact — funding environmental initiatives, supporting LGBTQIA2S+ and immigrant communities, and lending for affordable housing — and reports over $41 billion in assets.

📋 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 • Vancity Talent Programs: Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans.