AI Deployment Engineer

Sartorius•Ann Arbor, MI

1d•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 What you will accomplish together with us: 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. You will focus on creating a seamless end-user experience, ensuring AI features are intuitive and 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. By reducing processing time and improving efficiency, you enable users to achieve faster results and higher throughput in their biological assays. Implement observability frameworks to monitor model performance in the field. You will 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. You will translate user feedback and lab requirements into engineering specifications to ensure our AI capabilities solve actual pain points.

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.
Identification with our core values: Sustainability, Openness, Enjoyment

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.
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.
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

Personal and Professional Development: Mentoring, leadership programs, internal seminar offerings
Worklife Balance: Paid vacation, sick time, corporate holidays and community service day; as well as flexible work schedules
Making an Impact Right from the Start: Comprehensive onboarding, including a virtual online platform
Welcoming Culture: Mutual support, team spirit and international collaboration; communities on numerous topics such as “Coaching”, “Agile Working” and a “Businesswomen’s Network”
Health & Well Being: Wide selection of health and well-being support such as a variety of medical plans to choose from, dental, vision, EAP, and other wellness programs.
Intelligent Working Environment: Working in smart buildings with the latest technology and equipment.
Retirement Savings Plan: 401 k (with generous company match)
Flexible Spending: HSA, FSA (dependent care & healthcare spending), Transportation Commuter Account
Company Paid Benefits: Basic Life Insurance, AD&D, EAP, Family Planning & Women’s Health, Health Advocate
Additional/Optional: Supplemental Life Insurance (employee, spouse & dependents), Legal Services, LTD & STD, Critical Illness Insurance, Student Loan Tuition Refinance Service