AI Deployment Engineer

Sartorius Stedim•Ann Arbor, MI

13h•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