Job Summary :

We are looking for an experienced Full Stack MLOps Engineer to design, build, and productionize machine learning-powered applications using Databricks. This role requires a strong blend of MLOps, backend development, and DevOps expertise to deliver scalable and production-ready solutions.

Key Responsibilities :

- Design and implement end-to-end ML applications on Databricks

- Develop and manage CI/CD pipelines for ML and data workflows

- Work extensively with Databricks components including Delta Lake, notebooks, jobs, and workflows

- Build and maintain APIs using Python frameworks such as FastAPI to serve ML models

- Containerize and deploy applications using Docker and Kubernetes

- Implement monitoring, logging, and model performance tracking mechanisms

- Collaborate closely with data scientists to productionize machine learning models

Required Skills & Qualifications :

- 8+ years of relevant experience in MLOps / ML Engineering

- Strong hands-on experience with Databricks (mandatory)

- Proficiency in Python and experience with ML frameworks such as scikit-learn, PyTorch, etc.

- Experience with CI/CD pipelines and MLOps practices

- Working knowledge of Docker and Kubernetes

- Experience in building APIs and backend services

- Solid understanding of the ML lifecycle (training, deployment, monitoring)

Additional Information

- This is a critical requirement with immediate hiring timelines

- Candidates must be based in or willing to work from Bengaluru

- Preference will be given to immediate joiners