Production ML & Data Ops Engineer

100 Eli Lilly and Company; Indianapolis (IN); On-site; USD 152,000 - 244,000; Full time

Benefits offered by this job

401(k)

Pension

Vacation benefits

Medical benefits

Dental benefits

Vision benefits

Well-being benefits

Life insurance

Job summary

Lilly is seeking a Machine Learning & Data Operations Engineer to advance drug discovery by building production ML tools and scalable data pipelines. You will deploy models, run inference at scale, and ensure data trust with validation and monitoring across cloud and on‑prem environments.

You will collaborate with Lilly Research Labs, AI, Software Engineering, Data Science, and IT Operations to translate research into deployable solutions while improving platform reliability and governance.

Qualifications

• Ph.D. in Computer Science or related field.
• Hands-on software engineering with cross-functional delivery.
• Experience deploying ML models and data pipelines in production.

Responsibilities

• Model deployment, serving and inference across cloud and on‑prem.
• Design scalable data pipelines and feature stores for ML workflows.
• Implement validation, monitoring, and governance for models and data.
• Build robust microservices and CI/CD pipelines for production.

Skills

Go

Rust

Java

Python

Distributed systems

Education

Ph.D. in Computer Science or related field

Tools

Kubernetes

Docker

Terraform

CI/CD tooling

Job description

Lilly is seeking a Machine Learning & Data Operations Engineer to advance drug discovery by building production ML tools and scalable data pipelines. You will deploy models, run inference at scale, and ensure data trust with validation and monitoring across cloud and on‑prem environments.

You will collaborate with Lilly Research Labs, AI, Software Engineering, Data Science, and IT Operations to translate research into deployable solutions while improving platform reliability and governance.