We are looking for a highly skilled and motivated AI Engineer (m/f/d) to develop and deliver innovative AI solutions for healthcare and clinical research. In this role, you will design, train and evaluate machine-learning and deep-learning models for medical-image analysis. You will build modular and reliable Python components, conduct reproducible experiments and help translate complex clinical and technical requirements into robust AI capabilities. Working closely with AI, data, clinical, annotation and software specialists, you will contribute throughout the development lifecycle: from data preparation and model validation to deployment, monitoring and continuous improvement of our shared development tool stack. The ideal candidate combines strong machine-learning and computer-vision expertise with sound software-engineering practices, a collaborative mindset and a passion for improving healthcare through responsible AI.
Your responsibilities will include:
- Design, train, evaluate and refine machine-learning and deep-learning models for medical-image segmentation, classification, quantification, forecasting and longitudinal analysis.
- Implement modular, tested and documented Python components for training, inference, evaluation, integration and reporting.
- Prepare and quality-check training and validation data, and support annotation review with clinical and annotation specialists.
- Run structured experiments, select suitable metrics, perform error analysis and document traceable, reproducible results.
- Contribute to shared benchmarks and model-assisted annotation capabilities, support deployment and monitoring under applicable quality and regulatory procedures and contribute to shared development tool stack.