Databricks MLOps Engineer

7 days ago


india beBeeMachineLearning Full time

We are seeking a highly skilled Databricks MLOps Developer to join our team.Key Responsibilities:Design and Build Scalable MLOps PipelinesDevelop automated machine learning pipelines for training, validation, deployment, and batch/real-time inference.Use Databricks Workflows, Jobs, Repos, and Delta Live Tables where applicable.Implement distributed training and inference pipelines using MLflow + PySpark.Model Lifecycle ManagementManage model versioning and promotion across dev → staging → production using MLflow Model Registry.Create reproducible workflows for model packaging, deployment, and rollback.CI/CD IntegrationBuild and integrate ML pipelines with CI/CD using Azure DevOps, GitHub Actions, or Jenkins.Automate testing, validation, and deployment for ML artifacts, notebooks, and infrastructure.Feature Engineering & Data PipelinesCollaborate with data engineering teams to build optimized delta lake pipelines (Bronze/Silver/Gold architecture).Implement feature engineering workflows and support feature reuse at scale.Monitoring & GovernanceSet up model monitoring for performance, drift, data quality, and lineage.Use Databricks-native tools, MLflow metrics, and cloud monitoring services (Azure/AWS).Ensure compliance through logging, auditing, permissions, and environment governance.Cross-Functional CollaborationWork closely with data scientists, data engineers, cloud teams, and product teams.Document workflows, best practices, and MLOps reusable components.



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