MLOps Engineer

Location: PAN INDIA (Remote/Hybrid based on project)

Experience: 710 Years

Notice Period: Immediate to 30 Days

Primary Responsibilities

• Lead and support Databricks migration projects across Azure and AWS environments.
• Build, maintain, and optimize ML pipelines using Python, PySpark, and distributed computing frameworks.
• Manage and operationalize ML lifecycle using MLflow, Databricks Feature Store, and Databricks Asset Bundles (DAB).
• Support and enhance ML platform infrastructure with a focus on reliability, automation, and scalability.
• Implement CI/CD for ML workflows and production deployments.
• Develop and maintain REST APIbased model serving solutions.
• Troubleshoot performance and platform-related issues across cloud environments.

Primary Skills

• Databricks (Azure & AWS)
• Python / PySpark
• MLflow, Databricks Feature Store
• Databricks Asset Bundles (DAB)
• ML Platform Support & Migration
• CI/CD for ML systems

Secondary Skills

• REST APIs / Model Serving
• Cloud Platforms: Azure, AWS
• Understanding of distributed systems & data engineering fundamentals

Ideal Candidate

• 710 years of experience in MLOps, ML Platform Engineering, or Cloud Data Engineering.
• Strong understanding of ML lifecycle, production-grade ML deployment, and cloud-native architectures.
• Hands-on experience with large-scale ML workloads, automation, and operational excellence.
• Ability to collaborate with data scientists, platform teams, and cloud architects.