Engineer - Mlops & Scientific Platforms - Data Foundry

Lilly

San Diego, CA, USA
$66,000 - $165,000; bonus; comprehensive benefit p...
Ml deployment pipelines
Model serving infrastructure
Api layers
Build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable

Job Summary

  • Build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable.
  • Deploy predictive and analytical methods from Methods4Insight with versioning, structured error handling, and response-time guarantees that enable insight generation in agile manner.
  • Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).

Matching Summary

Build the ML deployment pipelines, model serving infrastructure, API layers, and observability guardrails that make our scientific discovery methods and tools reliable, scalable, and consumable.

Salary

$66,000 - $165,000; Bonus; Comprehensive benefit program

Skills & Requirements

Must-have

  • ML deployment pipelines
  • model serving infrastructure
  • API layers
  • observability guardrails
  • cloud-native model serving infrastructure
  • CI/CD pipelines for ML models

Nice-to-have

  • pharmaceutical or biotech research experience
  • AI agent frameworks
  • GPU-accelerated computing
  • containerizing HPC workloads

Key Requirements

  • 3+ years of experience in MLOps
  • B.S. or M.S. in Computer Science or related field
  • Qualified applicants must be authorized to work in the United States

Work Rights

Must be authorized to work in the United States

Tailored Resume

Cover Letter