Senior MLOps Engineer

12 hours ago


Gurugram, India AI Start Up Full time

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 proceduresMandatory Skills : - Databricks (core)- MLflow, End-to-end MLOps & ML lifecycle- Python, PySpark, AWS Sagemaker, Docker/Kubernetes, CI/CD (Jenkins, GitHub Actions, GitLab CI)Requirements : - 4 to 6 years experience in MLOps, Data Engineering, or AI/ML roles- Strong background in building, deploying & maintaining ML models at scale in the cloudLocation : Pune, Bangalore, Noida, GurgaonLooking for Immediate Joiners (ref:hirist.tech)


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