Candidates with strong Python + Databricks + CI/CD + Production MLOps support experience who have worked on monitoring, troubleshooting, deployment, and model/data drift management in production ML environments
Key Responsibilities:
- Monitor end-to-end pipeline execution and ensure smooth daily runs
- Identify, debug, fix issues, and rerun pipelines during failures
- Collaborate cross-functionally to resolve dependencies and blockers
- Implement preventive health checks and robust logging for proactive issue detection
- Design and maintain dashboards for data validation and quality checks
- Perform data validation and ensure integrity across pipeline outputs
- Analyze model performance using statistical metrics and monitor data/feature/concept drift
- Build automated alerts/notifications for pipeline failures
- Develop agent-based solutions for automated monitoring and debugging
- Enhance and maintain CI/CD pipelines, including implementing data-based authentication and building new CI/CD workflows
- Ensure proactiveness & timely deliverables with robust communication, ownership, and stakeholder updates
- Apply model explainability techniques and leverage GenAI for insights and summarization
Technical Requirements
Python
- Strong Python skills & solid understanding of OOP (including inheritance)
- Hands-on experience with unit testing, regression testing, and testing frameworks such as pytest
- Experience with pandas and PySpark etc.
- Knowledge of software design patterns
Databricks
- Understanding of Databricks architecture and components
- Experience with Databricks Asset Bundles
- Ability to build, enhance, and debug Databricks Jobs/Workfl
📌 MLOps Engineer – Production Support (Delhi)
🏢 Zorba AI
📍 Delhi
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.