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Senior Principal Machine Learning Engineer
Eli Lilly and Company
Bengaluru, IND
Full-time
Senior · 11+ years experience
Onsite
Discovered 3 days ago
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Role Overview
We are looking for a Senior Principal Machine Learning Engineer to join the AI Engineering team, with a primary focus on Hands-On Engineering (MLE) and MLOps & Platform Reliability and GenAI & Agentic Systems. This posting is at level R4 on our engineering ladder — see the level framing below for the expected scope of ownership and impact.
Level framing: Recognized expert who mentors others; makes key technical decisions impacting multiple teams; leads resolution of highly complex challenges; cross-functional influence; may engage with external partners as an authority.
Key Skills for This Role
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Full Job Posting
Role Overview
We are looking for a Senior Principal Machine Learning Engineer to join the AI Engineering team, with a primary focus on Hands-On Engineering (MLE) and MLOps & Platform Reliability and GenAI & Agentic Systems. This posting is at level R4 on our engineering ladder — see the level framing below for the expected scope of ownership and impact.
Level framing: Recognized expert who mentors others; makes key technical decisions impacting multiple teams; leads resolution of highly complex challenges; cross-functional influence; may engage with external partners as an authority.
Core Responsibilities
- Design and build production backend systems for agentic AI applications — API layers, backend-for-frontend (BFF) patterns, session/state management, and streaming for concurrent multi-user workloads.
- Lead resolution of highly complex, cross-system technical challenges.
- Set the technical bar for hands-on engineering practice across the team.
- Own GitOps and engineering-governance standards across the team (version control, CI/CD, review, promotion).
- Make key MLOps/platform decisions that affect multiple teams (e.g. deployment topology, observability strategy).
- Drive triage and resolution of complex, cross-system production incidents.
- Own architecture for agentic AI systems, including routing, policy enforcement, and RAG/knowledge-registry design.
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