Senior ML Operations Engineer
Bengaluru, Karnataka, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build inference endpoints and scoring services
- Build maintain ML pipelines
- Collaborate with data scientists and engineers
- Design deploy machine learning models
- Develop GenAI applications with LLMs and RAG
- Ensure model governance and automated retraining
- Implement MLOps best practices
- Implement automated testing and validation for ML
- Monitor model performance and data drift
- Process data with distributed workflows
- Set up ML CI CD pipelines
- Track experiments and model versioning
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | AWS | Automated retraining | Azure | Azure ML | CI/CD | Data Drift | Data Drift Detection | Databricks | Docker | Drift Detection | Experiment tracking | GCP | Git | GitHub | Kafka | Kubernetes | LLM | MLOps | MLflow | Machine Learning | Model Explainability | Model Governance | Model Monitoring | Model versioning | Prompt engineering | PySpark | Python | RAG | Spark | Streaming | Vector Databases
Education
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