Ai Deployment Engineer

Sartorius

Ann Arbor, MI, US
Onsite
Mlops and ci/cd experience
Python and deep-learning frameworks
Deploy ai models via containers
Convert complex AI/ML research models into robust, maintainable, and scalable production systems

Job Summary

  • Convert complex AI/ML research models into robust, maintainable, and scalable production systems.
  • Build and optimize automated deployment pipelines using internal DevOps tooling, meant for early adopters, partners and collaborators.
  • Act as a bridge between data scientists and product development teams.

Matching Summary

Convert complex AI/ML research models into robust, maintainable, and scalable production systems.

Skills & Requirements

Must-have

  • MLOps and CI/CD experience
  • Python and deep-learning frameworks
  • Deploy AI models via containers
  • Automated deployment pipelines
  • Optimize models for latency
  • Implement observability frameworks

Nice-to-have

  • Integrate AI into embedded systems
  • Model-acceleration frameworks knowledge
  • Microscopy or life sciences workflows

Key Requirements

  • Masters' with 5+ years or PhD with 1+ year(s) experience
  • Computer Science, Machine Learning, or Software Engineering fields
  • Strong communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter