Medical Imaging AI Engineer

Location: 100% remote, BYOD Duration: Initial 3-month B2B contract with a high likelihood of extension. Start : 15.06.2026 Summary: The main function of this role is to develop advanced algorithms that enhance cardiac interventions, integrating deep learning and computational geometry into medical imaging. Main Responsibilities: Develop algorithms combining deep learning, computational geometry, and medical imaging. Build and optimize 3D segmentation, modeling, and measurement pipelines for clinically relevant planning workflows. Design, train, and validate deep learning models and geometry methods. Collaborate with Product and Engineering teams to translate clinical needs into robust algorithm designs. Work with Clinical, Regulatory, and Quality teams to ensure compliance with medical device development standards. Continuously improve algorithm accuracy, robustness, and computational efficiency while contributing to research and exploration of new methods. Key Requirements: At least 3 years of experience developing deep learning models and computational geometry algorithms, especially deriving measurements from 3D segmentations. Strong software development skills, particularly in Python , with experience in TypeScript and AWS-based cloud products, are ideal. Background in medical image analysis (CT/MRI/Echo), including 3D data processing, mesh handling, and geometric feature extraction. Experience using frameworks such as Numpy, Scipy, PyTorch, and VTK. Solid understanding of algorithm optimization, numerical stability, and rigorous validation methodologies. Nice to Have: Familiarity with cloud-based architecture and deployment practices. Knowledge of regulatory processes in medical device development.