8+ years in data or ML engineering, including 3+ years in MLOps or ML platform architecture.
3+ years of hands-on Snowflake experience: Snowpark Python, stored procedures, UDFs/UDTFs, Tasks, Streams, Dynamic Tables.
Production experience with Snowflake ML APIs, Model Registry and Feature Store.
Strong Python skills (scikit-learn, XGBoost, LightGBM, PyTorch or TensorFlow) and advanced SQL.
Experience with CI/CD, Git, infrastructure as code (Terraform or Snowflake DCM), and containerization with Docker.
Good working knowledge of ML monitoring, drift detection, and model governance.
Experience on at least one cloud platform: AWS, Azure or Google Cloud Platform.

MLOps Architect

Key skills