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 runsIdentify, debug, fix issues, and rerun pipelines during failuresCollaborate cross-functionally to resolve dependencies and blockersImplement preventive health checks and robust logging for proactive issue detectionDesign and maintain dashboards for data validation and quality checksPerform data validation and ensure integrity across pipeline outputsAnalyze model performance using statistical metrics and monitor data/feature/concept driftBuild automated alerts/notifications for pipeline failuresDevelop agent-based solutions for automated monitoring and debuggingEnhance and maintain CI/CD pipelines, including implementing data-based authentication and building new CI/CD workflowsEnsure proactiveness & timely deliverables with strong communication, ownership, and stakeholder updatesApply 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 pytestExperience with pandas and PySpark etc.Knowledge of software design patterns Databricks Understanding of Databricks architecture and componentsExperience with Databricks Asset BundlesAbility to build, enhance, and debug Databricks Jobs/Workflows CI/CD & Git Knowledge of Git flows, branching strategies, and version control best practicesExperience with GitHub ActionsAbility to deploy Databricks (dbx) jobs through CI/CD pipelinesFamiliarity with Azure services, including Key Vault Data/Model Monitoring Understanding of data drift, model drift, and concept driftAbility to use drift indicators for identifying early-stage data quality issuesExperience 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 runsIdentify, debug, fix issues, and rerun pipelines during failuresCollaborate cross-functionally to resolve dependencies and blockersImplement preventive health checks and robust logging for proactive issue detectionDesign and maintain dashboards for data validation and quality checksPerform data validation and ensure integrity across pipeline outputsAnalyze model performance using statistical metrics and monitor data/feature/concept driftBuild automated alerts/notifications for pipeline failuresDevelop agent-based solutions for automated monitoring and debuggingEnhance and maintain CI/CD pipelines, including implementing data-based authentication and building new CI/CD workflowsEnsure proactiveness & timely deliverables with strong communication, ownership, and stakeholder updatesApply 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 pytestExperience with pandas and PySpark etc.Knowledge of software design patterns Databricks Understanding of Databricks architecture and componentsExperience with Databricks Asset BundlesAbility to build, enhance, and debug Databricks Jobs/Workflows CI/CD & Git Knowledge of Git flows, branching strategies, and version control best practicesExperience with GitHub ActionsAbility to deploy Databricks (dbx) jobs through CI/CD pipelinesFamiliarity with Azure services, including Key Vault Data/Model Monitoring Understanding of data drift, model drift, and concept driftAbility to use drift indicators for identifying early-stage data quality issuesExperience with monitoring and alerting tools is a plus Skills: ml,cd,python,ci Candidates with strong Python + Databricks + CI/CD + Production MLOps support experience wh