Senior MLOps Engineer - Python

Description :

• Manage and optimize Databricks platform (Workspaces, Jobs, Unity Catalog, Delta Lake)
• Implement the whole ML lifecycle : model training, versioning, deployment, monitoring, and retraining
• Track, manage, and govern ML experiments & models via MLflow
• Develop scalable data / ML pipelines with Python (pandas, scikit-learn, PyTorch / TensorFlow), PySpark & SQL
• Deploy and manage solutions on AWS (specifically Sagemaker); knowledge of Docker / Kubernetes required
• Design and drive deployment strategies (A / B testing, blue-green & canary deployments)
• Create CI / CD workflows for ML using Jenkins / GitHub Actions / GitLab CI
• Monitor data quality, performance, and drift using Databricks Lakehouse Monitoring; integrate SHAP / LIME for explainability
• Automate end-to-end processes : data validation, feature generation, model building & deployment
• Collaborate across Data Science, Engineering, DevOps, and Business teams
• Mentor juniors, create clear documentation, and contribute to standard operating procedures

Mandatory Skills :

Requirements :

Location : Pune, Bangalore, Noida, Gurgaon

Looking for Immediate Joiners

(ref : hirist.tech)