Machine Learning Engineer

We are looking for a highly skilled and motivated Computer Vision / Machine Learning Engineer to join our AI team and lead model improvement initiatives for our already-deployed mobile application. The app is designed to assist amputees by detecting hand, finger, or limb anomalies in real time using computer vision. Your role will be critical in enhancing the accuracy, robustness, and real-world performance of our anomaly detection models, particularly across diverse environments and user types.

Our client is a leading healthcare company, dedicated to improving patient outcomes through innovative medical solutions and high-quality care.

• Proven experience (3+ years) in building and optimizing computer vision models for image classification, object detection, or anomaly detection.
• Proficiency in Python and major ML/CV frameworks (TensorFlow, PyTorch, OpenCV).
• Experience working with medical imaging, biomedical signals, or human body detection is a strong plus.
• Solid understanding of model evaluation techniques and metrics, particularly in healthcare or safety-critical applications.
• Experience deploying models to production, preferably on mobile or embedded systems.
• Familiarity with data annotation tools and managing datasets with edge cases (e.g. partial limbs, occlusions).
• Excellent problem-solving skills and the ability to work independently or in a small, fast-paced team
• (Preferred) Experience with 3D hand pose estimation, depth sensing, or synthetic data generation

• Flexible working hours
• Remote work/office work
• Paid vacation
• Paid sick leave
• Corporate doctor services
• Free English classes
• Life event support
• Payment for educational courses, certificates (50%)
• Different sports activities in the office (badminton, tennis, darts, gym)
• Fully equipped office with car and bicycle parking