EL
Full time
🤖 AI / ML
Advisor - ML Engineering & Operations at Eli Lilly and Company
Listed by DevShelfHub
Bengaluru, India
Hybrid
Senior · 13–17 yrs
About the Role
Pharmaceutical commercial analytics is evolving through production-grade ML engineering and agentic AI capabilities. Eli Lilly is hiring an Advisor - ML Engineering & Operations in Bengaluru to own complex ML architecture and lead technical integration with Lilly's Agentic AI engineering team.
What you'll do
- Own end-to-end ML architecture, feature engineering, and pipeline design decisions for key commercial analytics initiatives
- Design and review ML architectural decisions with stakeholders, setting patterns for other engineers
- Own CI/CD pipeline orchestration, deployment, and production monitoring across multiple projects
- Design and build production agentic AI systems using frameworks such as LangGraph
- Own LLMOps practice: prompt versioning, evaluation pipelines, cost/latency monitoring, and guardrails
- Architect retrieval-augmented generation systems and integrate vector databases for semantic search
- Serve as primary technical point of contact with Lilly's Agentic AI engineering team
- Provide informal technical oversight for 2-3 more junior engineers
What we're looking for
- 13+ years building ML/AI systems in production with substantial depth in generative AI and agentic systems
- Strong knowledge of ML frameworks (scikit-learn, PyTorch, TensorFlow, Keras)
- Strong knowledge of Python and PySpark; working knowledge of R preferred
- Proficient in AWS components such as SageMaker and Lambda
Skills & Technologies
Required
13+ years building ML/AI systems in production with substantial depth in generative AI and agentic systems
Strong knowledge of ML frameworks (scikit-learn, PyTorch, TensorFlow, Keras)
Strong knowledge of Python and PySpark; working knowledge of R preferred
Proficient in AWS components such as SageMaker and Lambda
Strong knowledge of Docker, Kubernetes, and CI/CD tooling (GitHub Actions)
Extensive hands-on experience with LangGraph or comparable agentic framework
Experience with MLOps frameworks such as MLflow, Kedro, and Prefect
Production experience with LLM development, RAG architecture, and LLMOps practices
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This hands-on individual contributor role demands depth in both production ML engineering and agentic AI development.
- Own end-to-end ML architecture, feature engineering, and pipeline design for commercial analytics
- Design and build production agentic AI systems using LangGraph with multi-step reasoning and tool use
- Own LLMOps practice including prompt versioning, evaluation pipelines, and guardrails
- Architect RAG systems and integrate vector databases like Pinecone at production scale
- Serve as primary technical contact with Lilly's Agentic AI engineering team
- Own CI/CD pipeline orchestration with Docker, Kubernetes, and Prefect
- Provide informal technical oversight for 2-3 junior engineers
- Apply software engineering rigor including CI/CD, automation, and testing to ML systems
- Work with AWS SageMaker, Lambda, and serverless services
- Join a purpose-driven global healthcare leader impacting patient outcomes
About Eli Lilly and Company
Eli Lilly is a global healthcare leader uniting caring with discovery to make life better for people around the world. The Lilly Bengaluru Business Insights & Analytics team comprises more than 100 staff members providing analytics outcomes across Marketing, Sales, Medical Affairs, and other functions.
- Industry
- Technology
- Company Size
- 500+
- Website
- elilillyandcompany.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 13–17 years
- Location
- Bengaluru, India
- Work Mode
- Hybrid
- Category
- AI / ML
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