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AI/ML Engineer

EPM Scientific · Fribourg, Fribourg, Switzerland

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Machine Learning Engineer - Medical TechnologyAbout the RoleWe are supporting a growing Swiss medical technology company looking to strengthen its machine learning capabilities.You will work on the development and implementation of machine-learning solutions for medical applications, taking projects from experimentation through validation and deployment.ResponsibilitiesDevelop and improve machine-learning and deep-learning models for medical applications.Work with medical imaging and other complex healthcare datasets.Build reliable pipelines for training, testing and evaluating models.Improve model performance and prepare solutions for use within production environments.Support deployment of machine-learning models onto hardware-constrained systems.Work with software engineers to integrate ML solutions into wider product platforms.Contribute to data preparation, quality and annotation processes.Support testing, validation and technical documentation within a regulated development environment.Apply good software engineering and MLOps practices throughout development.Collaborate with technical and non-technical teams across the product lifecycle.RequirementsMSc or PhD in Machine Learning, AI, Computer Science, Biomedical Engineering or a related discipline.2+ years of commercial ML/AI development experience.Strong Python and experience with frameworks such as PyTorch or TensorFlow.Experience with computer vision or medical imaging.Exposure to deploying and optimising ML models beyond the research environment.Understanding of edge, embedded or resource-constrained ML deployment.C/C++ knowledge would be beneficial.Previous experience within medical devices, healthcare technology or another regulated environment.Familiarity with MLOps, source control and modern software-development practices.Ultrasound experience would be highly advantageous but is not essential.Fluent English. Only those with the right to work in Switzerland can be considered.Only those shortlisted will be contacted.