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Machine Learning Engineer Lead
Vancity
Remote, CAN
Full-time
Senior · 10+ years experience
Remote
CAD 125000-169100 yearly / year
Discovered 3 weeks ago
PythonSQLPyTorchTensorFlowScikit-learnAzure Machine Learning
Free
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PythonSQLPyTorch
Key Skills for This Role
PythonSQLPyTorchTensorFlowScikit-learnAzure Machine Learning
Full Job Posting
- 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
- 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
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