MLOps Platform Engineer – Build Production-Ready ML

SMG is seeking an MLOps Engineer to own the ML platform from development to production, packaging, registry and the shared tooling that data scientists rely on to ship reliably.

You will manage deployment and monitoring, ensure data quality and drift detection, and drive a governed retraining lifecycle while collaborating with data scientists, data engineers, and DevOps on Azure/AWS, Databricks, and Snowflake.