MLOps Engineer

About the Role

Databricks is hiring an MLOps Engineer to build and scale ML platform capabilities on the Lakehouse. You will develop tools for model lifecycle management, feature stores, and automated ML pipelines used by thousands of enterprise data teams.

Requirements

• 5+ years of experience in MLOps, DevOps, or platform engineering
• Strong proficiency in Python and Spark
• Experience with MLflow or similar ML lifecycle tools
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience building CI/CD pipelines for ML workflows

Nice to Have

• Experience with Databricks Unity Catalog
• Background in data engineering
• Familiarity with model monitoring and drift detection
• Experience with feature store implementations

Benefits

Skills

Related Jobs