Mandatory/core:

- Robust Databricks + MLOps, specifically ML/AI use cases rather than ETL-only Databricks.

- Candidates should have real production-grade experience, particularly deploying ML models/AI agents, CI/CD, infrastructure, evaluation, and monitoring.

- AWS is good-to-have, since Databricks will be hosted on AWS.

- The requirement is primarily around production AI engineering on Databricks, rather than conventional Databricks data engineering.

- The engineers are expected to take agents/models developed by Data Science teams into production, covering deployment pipelines, testing, serving, observability, monitoring, and operational controls.

- AWS capability is secondary to the Databricks/AI requirement.

- Profiles having only traditional data engineering or POC-level GenAI experience would not meet the core requirement.

📌 MLOPs Engineer (Bengaluru)
🏢 TEKsystems
📍 Bengaluru