Advisor - ML Engineering & Operations

About the role

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

What you'll do

• Design and review ML architectural decisions with stakeholders, setting patterns that other engineers build on
• Apply software engineering rigor and best practices to ML systems, including CI/CD, automation, and testing
• Optimize model hyperparameters and evaluate model performance, robustness, and explainability across production ML systems
• Design and build production agentic AI systems using frameworks such as LangGraph — multi-step reasoning, tool use, and orchestration across complex workflows
• Architect retrieval-augmented generation systems and integrate vector databases (e.g., Pinecone) for semantic search and retrieval at production scale

What you need

• 13–23 yrs of experience
• Machine learning
• Scikit-learn
• LLMs
• AWS
• MLOps
• TensorFlow
• PhD or M.Tech or MCA or M.Sc

Good to have

• Python
• Spark
• R
• Prompt engineering
• PyTorch
• CI/CD