ML Ops / Data Infrastructure Engineer for Surgical AI

**OR-X** # **ML Ops / Data Infrastructure Engineer for Surgical AI 80 - 100 %** Start of employment 01.02.2026 (Flexible), temporary The Operating Room-X (OR-X) is a national unique research infrastructure and surgical translation center designed to advance surgical innovation. It combines a fully equipped, realistic operating room with an advanced digital ecosystem that supports ex-vivo surgical experiments, multimodal data acquisition, robotics, AR/VR systems, and high-performance AI computing. A core element of OR-X is its newly established data infrastructure, which enables the synchronized collection, structuring, and streaming of multimodal surgical data through custom hardware interfaces, integrated middleware, and a high-performance computing (HPC) backbone. This infrastructure is already operational and forms the foundation for scalable development and deployment of surgical AI applications. In parallel, the hospital together with the OR-X is building a new platform for robotic surgery and intelligent assistance, bringing together robotics, simulation, AI, and data science. Within this ecosystem, we are seeking a ML Ops / Data Infrastructure Engineer for shaping the underlying data, hardware, and computing infrastructure that enables machine learning, robotics, and real-time surgical AI across OR-X. The role focuses on bridging multimodal data pipelines, HPC systems, and real surgical workflows to enable reliable, real-time AI functionality in translational and experimental settings. ## **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** - Integrate multimodal data streams (video, kinematics, tracking, imaging, sensor data) into the central AI infrastructure - Develop APIs, data ingestion pipelines, and real-time streaming frameworks - Structure and pre-process multimodal surgical datasets for model training and downstream analytics - Develop a distribution strategy that enables external researchers to access the data **AI Deployment in Surgical Workflows** - Work closely with AI researchers to operationalize models for surgical scene understanding, workflow prediction, skill assessment, and mixed reality - Develop monitoring tools to ensure robustness, reliability, and latency compliance for real-time surgical applications - Collaborate with robotics engineers to interface AI pipelines with devices accessible through ROS2 for control and visualization **System Testing & Validation** - Support verification and validation experiments in realistic ex-vivo settings - Implement performance monitoring, logging dashboards, and evaluation frameworks for deployed AI models - Contribute to guidelines and best practices for safe, reliable clinical translation of AI-enabled systems ## **Your profile** - Degree from University of Applied Sciences or higher in Computer Science, Electrical Engineering, Robotics, or a related field - Strong experience in MLOps, including Docker, Kubernetes, CI/CD pipelines, model serving and workflow orchestration tools - Strong programming skills in C++, Python, and related languages - Experience with data engineering, data pipelines, and multimodal dataset handling - Proficiency in interfacing with AI infrastructures, preferably with experience in NVIDIA AI technologies. Experience with Holoscan is an asset - Familiarity with Nvidia hardware (DGX, Spark, Jetson) - Experience with ROS2 and real-time systems - Comfortable in Linux/Ubuntu environments, Git/GitHub workflows, and containerization - Motivation to work in a translational, interdisciplinary environment connecting AI, robotics, and clinical research - English is the main working language; German is an added advantage ## **Information on your application** What We Offer - Active participation in a rapidly growing and internationally recognized Surgical Data Science ecosystem - The opportunity to shape the next generation of AI-driven surgical technologies, integrating AR, robotics, and intelligent assistance systems - A highly innovative environment at the intersection of engineering, AI research, and clinical practice at the University Hospital Balgrist - Collaboration with leading academic and industrial partners (ETH AI Center, NVIDIA, Microsoft, ZHAW, and others) - A supportive, motivated, and interdisciplinary team that values creativity, collaboration, and impact Application Please send your application to Dr. Fabio Carrillo (fabio.carrillo@balgrist.ch) with the following documents: - Motivation letter (max. 1 page) - Current CV - Relevant project portfolio or GitHub (optional) ## **What we offer** **Work-Life Balance** - Flexible working models (such as part-time positions, mobile working, job-sharing) - Childcare at the kihz foundation of UZH and ETH **Learning and Development** - Wide range of continuing education courses of UZH and the Canton of Zurich - Language Center run jointly with ETH Zurich **Food** - Food and drinks at reduced prices in the UZH cafeterias - Lunch-Check-card with UZH contribution **Healthcare** - Special conditions on the Academic Sports Association ASVZ - Free seasonal flu vaccinations - Rest and relaxation at the quiet room in the university tower **Discounts** - Private traffic: Carsharing, rent a vehicle, parking space - Digitalization: Hardware, software, mobile phone subscriptions - Special conditions on hotel reservations **Conditions of Employment** - Policies of the UZH - Most UZH staff are employed according to public law **International Services** - Support for people from outside Switzerland **Campuses** - Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren - Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg ## **Location** ### **OR-X** Forchstrasse 340, 8008 Zürich, Switzerland ## **Further information** ### **Questions about the job** **Dr. Fabio Carrillo** Head of OR-X Research Unit +41 44 510 32 64 ### **Questions about the application procedure** **Joelle Kunz** Assistant +41 44 510 73 66 ## **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! Quelle: https://indeed.com/viewjob?jk=90ea5250f22ec582

Level: mid level