AI / Machine Learning Engineer (Medical Imaging)

AI / Machine Learning Engineer (Medical Imaging) About the Role At Intus.AI, we are redefining how surgeons plan and perform complex procedures through AI-powered 3D medical imaging. As an AI/ML Engineer, you will be at the core of our product Virtual Clone (ViC), building algorithms that transform medical scans into patient-specific 3D models to support surgical decision-making. This role is perfect for someone who loves problem-solving, has strong foundations in software engineering, and is passionate about turning complex data into real-world clinical impact. Key Responsibilities Design, build, and maintain machine learning models for medical image processing (CT, MRI). Implement segmentation and radiomics pipelines, supporting the extraction of anatomical and pathological structures. Interact closely with clinicians and surgeons to translate anatomical and procedural requirements into AI-driven features. Use and adapt the main medical imaging segmentation tools (e.g., 3D Slicer, ITK-Snap, MITK) for research and prototyping. Develop scalable data pipelines and ML infrastructure for training, validation, and deployment. Collaborate with regulatory & quality teams to ensure compliance with medical device certification standards (MDR/FDA, ISO 13485, IEC 62304). Contribute to research projects, clinical studies, and grant proposals, supporting scientific validation and dissemination. Optimize model performance and monitor accuracy, robustness, and drift over time. Stay up to date with the latest AI/ML and medical imaging trends, integrating relevant innovations into ViC. Requirements Bachelor’s, Master’s, or PhD in Computer Science, Biomedical Engineering, Mathematics, or related field. Proven experience with deep learning frameworks (PyTorch, TensorFlow, MONAI). Strong programming skills in Python (plus Git, Docker, Linux). Solid knowledge of DICOM and image processing libraries (ITK, SimpleITK, OpenCV). Familiarity with medical segmentation software (3D Slicer, ITK-Snap, MITK). Good understanding of human anatomy and surgical workflows, with ability to collaborate with clinicians. Experience in research projects and scientific publications is a plus. Excellent communication skills and ability to work in multidisciplinary teams. What We Offer Work on a pioneering product that directly impacts surgical safety and patient outcomes. Join a fast-growing medtech startup with global ambitions. Collaborative, mission-driven team uniting AI, medicine, and regulatory expertise. Opportunity to contribute to scientific research, clinical validation, and publications. Professional growth at the intersection of AI, anatomy, and certification-driven development. The compensation package will be defined based on experience and skills. Senior profiles (5 years of experience) the range is €35,000 – €43,000.

Location: Turin, PIEDMONT, IT

Posted Date: 10/9/2025