Senior Machine Learning Engineer - Medizinische KI-Entwicklung - Arbeitsgruppe Machine Learning
Core
Developing production-ready AI models for radiology using data from the RACOON network across 38 German university clinics.
Role type
Senior Machine Learning Engineer (Medical AI)
Builds
End-to-End ML pipelines for medical image analysis (CT and MRI), containerized deployment services, and reusable ML infrastructure.
Domain
Healthcare / Medical Imaging / Radiology
Deliverable
production ML models
Required skills
Deep Learning (CNNs, Vision Transformers), Python (PyTorch/TensorFlow), Linux/Shell scripting, DICOM/FHIR data processing, GPU server configuration, CI/CD basics
Preferred skills
Experience with medical image analysis, publication in top venues (RSNA, MICCAI), ability to pursue a PhD
Technologies
PyTorch, TensorFlow, NumPy, scikit-learn, pandas, DICOM, FHIR, Git, Docker (implied by containerized deployment)
Responsibilities
Develop, train, validate, and deploy deep learning models for medical image analysis; manage full ML pipelines from DICOM ingestion to deployment; optimize model performance for accuracy and inference speed; build modular ML infrastructure and data loaders; integrate multi-institutional data; publish research findings.
Seniority
Senior, hands-on IC
