Lead/Senior AI/ML Engineer, R&D – Computer Vision (m/f/d)

• deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
• perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
• design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
• collaborate with clinical and annotation teams on labeling strategy, inter-rater agreement, and active-learning rounds to improve dataset quality
• build and maintain model pipelines to ensure efficient data loading, reproducible training/evaluation, and versioned artifacts
• design and own the model serving layer that includes pre-processing, inference, post-processing, and composition
• instrument production models with monitoring for prediction quality, input drift, and data integrity to feed real-world failure cases back into the data and retraining pipeline
• uphold standards for experimentation and engineering best practices by conducting code, design, and experiment reviews and mentoring less-experienced engineers

• proven experience in machine learning, computer vision, or a related engineering field
• strong proficiency in Python across the scientific and ML stack with the ability to write maintainable, production-grade code
• experience preparing imaging datasets for deep learning and curating well-defined train/test splits that prevent leakage
• ability to design and run modeling experiments — appropriate architectures and loss functions, controlled ablations, and sensible baselines — with sound interpretation of results
• strong understanding of evaluation methodology and applied statistics for model validation
• hands-on experience with CV libraries (e.g. OpenCV, albumentations) and modern ML frameworks (e.g. PyTorch, JAX, Tensorflow)
• familiarity with experiment tracking and reproducibility tooling (e.g. MLflow, Weights & Biases)
• excellent communication skills and cross-functional collaboration
• bachelor's or Master's degree in a STEM field, or equivalent practical experience
• nice to have: medical imaging, active learning, MLOps practices, or model serving frameworks

• opportunity to work with the latest technologies and tools
• creating a modern cloud-based AI solution
• international team environment
• competitive salary
• hybrid work week
• modern office environment

If you want to be part of a dynamic company that values and encourages its employees, please submit your full application with your salary expectation and earliest starting date online: duerr-career.com

We look forward to hearing from you and learning more about your skills and ambitions.