ML Ops Engineer
Eli Lilly · South San Francisco
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- Company
- Eli Lilly
- Location
- South San Francisco
- Employment type
- Full-time
- Posted
- September 17, 2026
About this job
What You’ll Be Doing As an ML Ops Engineer, you build and operate the platforms that run the end-to-end machine learning lifecycle. You enable reliable model deployment, operation, monitoring, retraining, and reproducibility at scale. You optimize infrastructure and GPU resources to support research and discovery workloads. You will work closely with engineering and scientific teams to deliver production-ready AI capabilities. How You’ll Succeed Lead the operational lifecycle of ML models, including deployment, monitoring, and ongoing reliability. Operate and optimize large-scale inference platforms that support scientific discovery and AI workloads. Ensure models can be deployed, scaled, monitored, and maintained in production environments. Test, refine, and improve model accuracy.…
This is a short summary.
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