AI Deployment Engineer

Sartorius StedimAnn Arbor, MI
Onsite

About The Position

At Sartorius, we are seeking an AI Deployment Engineer to join our team in Ann Arbor, MI. In this on-site role, you will contribute to transforming research-driven AI innovation into scalable real-world solutions that empower customers across cloud, edge, and instrument integrated environments. This full-time position directly supports our mission to advance next generation intelligent instruments and enable real-time insights in customers’ workflows. Onsite role based at our Ann Arbor, MI site

Requirements

  • Masters' with 5+ years or PhD with 1+ year(s) of experience in Computer Science, Machine Learning, or Software Engineering fields.
  • Strong experience with MLOps and CI/CD, focusing on delivering stable software to end-users.
  • Proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow).
  • Experience deploying AI models via containers or embedded systems to diverse customer environments.
  • Strong communication skills with the ability to explain technical AI concepts to non-technical stakeholders.

Nice To Haves

  • Experience integrating AI into embedded systems with a focus on usability.
  • Knowledge of model-acceleration frameworks to improve real-time user feedback.
  • Understanding of microscopy or life sciences workflows to better anticipate customer needs.

Responsibilities

  • Convert complex AI/ML research models into robust, maintainable, and scalable production systems.
  • Collaborate with internal subject matter experts focusing on cutting edge product development to embed models into analytical instruments and imaging platforms.
  • Focus on creating a seamless end-user experience, ensuring AI features are intuitive.
  • Build and optimize automated deployment pipelines using internal DevOps tooling, meant for early adopters, partners and collaborators.
  • Implement and troubleshoot based on frequent feedback.
  • Optimize models for latency and hardware constraints.
  • Implement observability frameworks to monitor model performance in the field.
  • Proactively identify and resolve issues affecting data quality, ensuring high reliability and traceability for regulated industries.
  • Act as a bridge between data scientists and product development teams.
  • Translate user feedback and lab requirements into engineering specifications to ensure our AI capabilities solve actual pain points.

Benefits

  • Mentoring
  • leadership programs
  • internal seminar offerings
  • Paid vacation
  • sick time
  • corporate holidays
  • community service day
  • flexible work schedules
  • Comprehensive onboarding, including a virtual online platform
  • Mutual support
  • team spirit
  • international collaboration
  • communities on numerous topics such as “Coaching”, “Agile Working” and a “Businesswomen’s Network”
  • Wide selection of health and well-being support such as a variety of medical plans to choose from
  • dental
  • vision
  • EAP
  • other wellness programs
  • Working in smart buildings with the latest technology and equipment
  • 401 k (with generous company match)
  • HSA
  • FSA (dependent care & healthcare spending)
  • Transportation Commuter Account
  • Basic Life Insurance
  • AD&D
  • EAP
  • Family Planning & Women’s Health
  • Health Advocate
  • Supplemental Life Insurance (employee, spouse & dependents)
  • Legal Services
  • LTD & STD
  • Critical Illness Insurance
  • Student Loan Tuition Refinance Service

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Senior

Number of Employees

5,001-10,000 employees

© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service