Insight Global is seeking an ML engineering leader to productionize forecasting science, refactor code into modular components, and establish robust patterns for testing and deployment in Azure ML and Azure DevOps. You will design end-to-end ML pipelines, build feature engineering on Snowflake, optimize for cost and performance, and ensure reliable handoffs to planning systems like o9. The role emphasizes observability, explainability, and transparent communication with stakeholders, with ownership of #J-18808-Ljbffr
📌 Ml Engineer (Toronto)
🏢 Cresta
📍 Toronto
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