MLOps Engineer Production Support (Databricks & Python) (Bengaluru)

MLOps Engineer Production Support (Databricks & Python) 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 Experience Range : 68 years Shift: 1 PM 10 PM IST (Monday to Friday) Target onboarding: Immediate Number of positions: 01 Location: PAN India with preference at Bangalore. >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> 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 Solid 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/Workflows CI/CD & Git Knowledge of Git flows, branching strategies, and version control best practices Experience with GitHub Actions Ability to deploy Databricks (dbx) jobs through CI/CD pipelines Familiarity with Azure services, including Key Vault Data/Model Monitoring Understanding of data drift, model drift, and concept drift Ability to use drift indicators for identifying early-stage data quality issues Experience with monitoring and alerting tools is a plus MLOps Engineer Production Support (Databricks & Python) 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 Experience Range : 68 years Shift: 1 PM 10 PM IST (Monday to Friday) Target onboarding: Immediate Number of positions: 01 Location: PAN India with preference at Bangalore. >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> 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 Ability to build, enhance, and debug Databricks Jobs/Workflows CI/CD & Git Knowledge of Git flows, branching strategies, and version control best practices Experience with GitHub Actions Ability to deploy Databricks (dbx) jobs through CI/CD pipelines Familiarity with Azure services, including Key Vault Data/Model Monitoring Understanding of data drift, model drift, and concept drift Ability to use drift indicators for identifying MLOps Engi