Become a Machine Learning Engineer with Insight Global, focusing on automated forecasting solutions and monitoring frameworks. Your work will be essential in building trusted business forecasting capabilities in Azure ML.
This position emphasizes collaboration with various teams, including data scientists and demand planners. As an ML Engineer, you will refactor models, establish best practices, and develop feature engineering solutions. You'll also work on integrating forecasts with existing platforms while building monitoring for data quality and model governance.
Key Responsibilities: - Refactor forecasting models into production-ready components - Develop data preparation solutions in Snowflake - Maintain training and backtesting pipelines in Azure ML - Implement CI/CD for deployment using Azure DevOps - Build monitoring solutions for pipeline health and accuracy
Requirements: - Minimum 3 years of ML Engineering or equivalent - Robust Python development and software fundamentals - Experience with Azure ML and SQL - Proven CI/CD experience - Familiarity with time series forecasting and monitoring
Take your Python and Azure expertise to deliver scalable solutions at Insight Global.#J-18808-Ljbffr

📌 Insight Global Machine Learning Engineer (Winnipeg)
🏢 Insight Global
📍 Winnipeg