Machine Learning Data Engineer Role

Transform data into actionable insights as a Machine Learning Data Engineer at Canadian Tire Corporation. Ensure ML models' success alongside a dedicated analytics team. In this position, your focus will be on the stability and performance of deployed ML models. Responsibilities include designing ETL pipelines, performing data quality checks, and managing the ML model lifecycle. Strong collaboration with data scientists and external teams will be key to your success as you automate and evaluate processes continuously. Key Responsibilities: • Create and manage ETL pipelines for data extraction and loading • Design and execute data quality checks and maintain feature stores • Deploy and monitor ML models in production environments • Collaborate with data scientists for data structuring • Work with infrastructure teams for optimal database management Requirements: • Master's degree in computer science or a related area • Over 2 years experience in data engineering with Azure • Proven deployment experience of AI models • Strong knowledge of Python, Azure Databricks, and data lakes • Experience with CI/CD pipelines in a cloud environment Join Canadian Tire Corporation to advance your career in data engineering and ML model management.