Machine Learning Engineer

Responsibilities

• Design, develop, optimize, and document innovative AI models for blood pressure estimation from optical signals
• Analyze model limitations and devise strategies to enhance performance, addressing key challenges
• Collaborate and communicate effectively with cross-functional teams to solve complex technical problems

Your profile

• M.Sc or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a relevant field
• 2+ years of industry experience applying Deep Learning techniques, ideally in
• a highly regulated field (medtech, banking, …)
• Experience in developing, fine-tuning, and evaluating neural network architectures on large-scale datasets
• Experience in performing verification and validation (V&V) activities of developed models
• Experience in deploying machine learning models in a production environment
• Deep understanding of statistical learning, CNNs, and RNNs
• Proficiency in Python and machine learning frameworks (e.g., PyTorch, Scikit-learn, TensorFlow, etc.) + AWS
• Experience in medical signal processing or time series analysis is a plus
• Strong communication skills in English (both written and spoken)
• Creative and hands-on approach to problem-solving
• Comfortable working in a multidisciplinary, multicultural, and diversity-oriented team
• Highly organized and meticulous in code development and documentation, ensuring thorough traceability and clarity in compliance with medical device industry standards
• Based in Switzerland, with a valid Swiss work permit

Benefits

• Pension
• Competitive compensation package based on experience
• Flexible work location (hybrid work schedule)