AI Engineer (m/f/d)
Core
Design, train, and evaluate machine-learning and deep-learning models for medical-image analysis, including segmentation, classification, and forecasting.
Role type
Applied machine-learning engineer (computer vision)
Builds
Modular Python components for training, inference, evaluation, and integration of AI models for healthcare.
Domain
Healthcare / Clinical research / Medical imaging
Deliverable
production ML models
Required skills
Python, PyTorch, Numpy, Pandas, MONAI, computer vision, experimental design, model evaluation, Git, Docker, AWS/Azure
Preferred skills
Healthcare, clinical research, medical-device, or model-deployment experience
Technologies
PyTorch, Numpy, Pandas, MONAI, Git, Docker, AWS, Azure
Responsibilities
Design, train, and refine ML/DL models for medical-image tasks; Implement modular, tested, and documented Python components; Prepare and quality-check training/validation data; Run structured experiments and document reproducible results; Support deployment, monitoring, and contribution to shared development tool stack.
Seniority
Mid-level, hands-on IC
