ML Ops / Data Infrastructure Engineer for Surgical AI

Your responsibilities

MLOps & Model Integration

• Deploy, monitor, and maintain machine learning models for surgical applications on HPC and edge devices within OR-X and ROSI research infrastructure
• Develop CI / CD pipelines for model lifecycle management, automated testing, and continuous deployment
• Leveraging NVIDIA technology for accelerating deployment of ML models
• Deployment of simulation environments

Data Engineering & Infrastructure

AI Deployment in Surgical Workflows

System Testing & Validation

Your profile

What we offer

Our employees benefit from a wide range of attractive offers. More

Location

OR-X

Information on your application

What We Offer

Application

Please send your application to Dr. Fabio Carrillo (fabio.carrillo@balgrist.ch) with the following documents :

Further information

Questions about the job

Dr. Fabio Carrillo

Head of OR-X Research Unit

Joinrocs@balgrist.ch

Working at UZH

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!

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