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! Your responsibilities In this position, you will be working at the heart of our Medical Language Technology Team, helping us work on the automatic generation of medical reports from medical images and convert unstructured medical text to structured information. Your primary focus will be on creating high-quality, production-ready code and taking end-to-end ownership of our machine learning and deployment pipelines. This would include the following: Design, implement, and deploy scalable Multimodal Multilingual AI algorithms and models into production environments. Architect and optimize models for reliable deployment in a web application context, turning research prototypes into robust, working solutions. Develop and maintain robust, high-quality production pipelines (MLOps). Contribute to a high-quality codebase, ensuring comprehensive testing and documentation. Adapting and integrating "off-the-shelf" solutions for our research projects. Pre-processing, post-processing, and annotation of data to support production systems. Develop and train large multimodal AI models for pressing medical data. The successful applicant will contribute to projects related to work, such as: RadVLM : Conversational Vision-Language Model for Radiology. RADICAL : Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration Your profile MINIMUM QUALIFICATIONS Education : M.Sc. in Machine Learning, Computer Science, Applied Mathematics, Computational Science, or a related field, or equivalent experience Experience At least +3 years of experience in Machine Learning, Computational Linguistics, and/or other relevant fields. Expertise in large AI models (i.e., LLM, VLM, etc.), computational methods, data analysis, software and algorithm development, and modeling. Demonstrated ability to transition research models into scalable, production systems. Capable of building, deploying, and maintaining user-facing APIs that expose a range of AI features as a service. Expert-level coding skills in Python, with a strong passion for the software development and MLOps side of AI. Extensive experience in using modern deep learning frameworks (PyTorch, Hugging Face) and proficiency with software development and deployment tools (e.g., Git, Linux, containerization via Docker/Singularity, and GPU cluster management like Slurm). Ability to do original and outstanding research in computational sciences and its relevant field. Ability to work well independently as well as in a collaborative team environment, in-person as well as via online channels. Ability to handle multiple projects at the same time. Ability to present research and other types of work, internally and externally. Farhad Nooralahzadeh Senior Researcher farhad.nooralahzadeh@uzh.ch
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