Full Stack MLOps Engineer (Databricks / ML Applications)
Location:
India
Overview
We are looking for a Full Stack MLOps Engineer who can build and productionize
ML-powered applications using Databricks. This role combines ML engineering,
DevOps, and backend development to deliver scalable, production-ready
solutions.
Key Responsibilities
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Build and deploy ML applications on Databricks (end-to-end)
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Develop CI/CD pipelines for ML workflows and data pipelines
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Work with Databricks (Delta Lake, notebooks, jobs, workflows)
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Build APIs (Python/FastAPI) to serve ML models
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Containerize and deploy applications using Docker & Kubernetes
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Implement monitoring, logging, and model performance tracking
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Collaborate with data scientists to productionize models
Required Skills
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Strong experience with Databricks (must-have)
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Hands-on with Python + ML frameworks (scikit-learn, PyTorch, etc.)
- Experience with CI/CD and MLOps workflows
- Knowledge of Docker, Kubernetes
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Experience building APIs / backend services
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Understanding of ML lifecycle (train → deploy → monitor)