Senior MLOps Developer

6 days ago


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Job Description: We are seeking a highly skilled Databricks MLOps Engineer to design, build, and manage scalable machine learning operations on the Databricks Lakehouse Platform.We are looking for an expert who can automate ML workflows, operationalize models, enable reproducible pipelines, and ensure governance and monitoring across the ML lifecycle. The role involves developing scalable MLOps pipelines, managing model versioning, implementing distributed training and inference pipelines using MLflow + PySpark, building and integrating ML pipelines with CI/CD, collaborating with Data Engineering teams to build optimized Delta Lake pipelines, setting up model monitoring for performance, drift, data quality, and lineage, and ensuring compliance through logging, auditing, permissions, and environment governance.Required Skills & Qualifications: Strong hands-on experience with Databricks (Workflows, Repos, Jobs, Compute), Proficiency with MLflow (Tracking, Registry, Model Deployment), Expertise in Delta Lake, PySpark, and distributed data pipelines, Solid programming skills in Python and SQL, Experience with CI/CD tools: Azure DevOps, GitHub Actions, Jenkins, Familiarity with cloud platforms: Azure, AWS, or GCP, Understanding of containerization (Docker) and orchestration (Kubernetes), Background in ML model training, serving, and observability


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