Designs and operates production machine learning systems on Azure, including training, deployment, monitoring, retraining, governance, and retirement workflows. Productionizes data science prototypes into deployable Python services, builds CI/CD pipelines, manages MLflow model lifecycles, develops feature engineering pipelines, and operates batch, streaming, and real-time inference. The role also establishes testing, observability, security, lineage, access controls, platform standards, and cost-efficient ML infrastructure.