Advisor - ML Engineering & Operations
IN: Lilly Bengaluru, India
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Architect retrieval-augmented generation systems
- Build production Agentic AI systems
- Coordinate with data scientists and engineering teams
- Define technical contracts APIs and shared SLAs
- Deploy and monitor machine learning systems
- Design feature engineering and pipeline design
- Establish human in the loop boundaries
- Implement LLMOps practices for prompt evaluation and guardrails
- Integrate vector databases for semantic search
- Optimize model hyperparameters and evaluate performance
- Orchestrate CI CD pipelines and deployments
- Own end to end machine learning architecture
- Provide technical oversight for junior engineers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Lambda | AWS SageMaker | CI/CD | Docker | Docker orchestration | GitHub Actions | Kedro | Keras | Kubernetes | LLM Evaluation | Langgraph | Language model operations | Large Language Model | Large Language Model Operations | MLOps | MLflow | Model Monitoring | Model Operations | Model versioning | Pinecone | Prefect | Prompt engineering | PySpark | PyTorch | Python | R | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases
Education
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