Computer Vision Engineer - MedTech 12‑month Contract / Freelance Location: Germany (hybrid or remote within Germany) We are partnering with a MedTech company developing advanced image‑based solutions used in clinical and regulated healthcare environments. They are seeking an experienced Computer Vision Engineer on a 12‑month contract / freelance basis to support ongoing R&D and product development initiatives. This role sits within a multidisciplinary R&D team and focuses on designing, developing, and optimising computer vision and machine learning algorithms for medical applications. Contract Details Contract length: 12 months (extension possible) Engagement: Freelance / Contract Location: Germany (remote or hybrid depending on project needs) Start: ASAP Key Responsibilities Develop and implement computer vision and deep learning algorithms for medical imaging or video data Work with modalities such as microscopy, endoscopy, X‑ray, CT, MRI, or similar image‑based inputs Design, train, and validate models (e.g. CNNs, UNet-based architectures) under real‑world data constraints Collaborate with software engineers, clinical experts, and product teams to translate clinical needs into technical solutions Support model optimisation, performance evaluation, and documentation for regulated environments Contribute to algorithm verification and validation activities aligned with medical device standards Experience & Skills Strong background in computer vision and machine learning, ideally within medical imaging or MedTech Proficiency in Python and deep learning frameworks, preferably PyTorch Experience with image segmentation, detection, or classification problems Understanding of medical or scientific image data and its associated challenges (data quality, annotation, bias) Exposure to delivering production‑ready algorithms, not just research prototypes Familiarity with DICOM and medical imaging standards is advantageous Experience in regulated development environments (e.g. IEC 62304, ISO 13485, FDA or CE‑marking) is beneficial Knowledge of C++, GPU acceleration, or CUDA is a plus MSc or PhD in Computer Vision, Biomedical Engineering, Medical Imaging, or a related field