ML Ops Engineer

Job Summary

A company is looking for an ML Ops Engineer (Databricks) to join their data and machine learning team.

Key Responsibilities

• Partner with ML scientists to operationalize models in Databricks and AWS
• Build, monitor, and optimize pipelines for training, testing, and deployment
• Establish systems for model versioning, automated testing, and performance monitoring

Required Qualifications

• Strong experience with Databricks and AWS-based ML workflows
• Proficiency with Python, SQL, PySpark, and related ML/data engineering toolsets
• Familiarity with ML lifecycle management tools (MLflow, Delta Live Tables, etc.)
• Hands-on experience with CI/CD and monitoring systems
• Experience reviewing code in pull requests and providing constructive feedback