MLOps Engineer – Production Support (Databricks & Python)

Candidates with solid Python + Databricks + CI/CD + Production MLOps support experience who have worked on monitoring, troubleshooting, deployment, and model/data drift management in production ML environments

Experience Range : 6–8 years

Shift: 1 PM – 10 PM IST (Monday to Friday)

Target onboarding: Immediate

Number of positions: 01

Location: PAN India with preference at Bangalore.

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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 strong 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

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📌 MLOps Engineer – Production Support (Bengaluru)
🏢 Zorba Consulting India
📍 Bengaluru