AI Infrastructure Engineer
Core
Build and maintain shared ML-Ops and LLM-Ops tooling, workflows, and infrastructure to accelerate AI research and application development for electron microscopy products.
Role type
Senior IC ML-Ops / AI Infrastructure Software Engineer
Builds
Shared compute ecosystems, ML/LLM development tooling, and automation pipelines for R&D teams
Domain
Life Sciences / AI Infrastructure
Deliverable
infrastructure
Required skills
Python, Docker, Kubernetes, AWS, ML-Ops, LLM-Ops, CI/CD, Git, object storage (S3)
Preferred skills
Experiment tracking, model lifecycle management, data lineage, observability for agentic AI
Technologies
Kubernetes, AWS, Docker, S3, Git
Responsibilities
Develop shared ML-Ops and LLM-Ops tooling and workflows; Optimize data and model development workflows; Maintain reliable shared compute ecosystem across cloud and on-premise; Enable faster development through reusable components and automation; Identify bottlenecks and establish AI engineering standards (via careerplan.io/jobs/R-01370272-1-ai-infrastructure-engineer-at-thermofisher)
