Edge AI Engineer Medical Devices & Computer Vision

As an Edge AI Engineer specializing in Medical Devices & Computer Vision, your role will involve designing, developing, and optimizing AI models for deployment on Edge AI devices in medical applications. You will be responsible for implementing and evaluating computer vision algorithms for real-time video and image analysis. Collaboration with cross-functional teams to integrate AI solutions into embedded systems and medical devices will be a key aspect of your responsibilities. Ensuring compliance with SaMD classification, regulatory standards, and quality processes will also be crucial. Documentation of design specifications, test protocols, and validation reports in accordance with regulatory requirements is expected, along with effective communication of technical findings and project updates to stakeholders. Key Responsibilities: - Design, develop, and optimize AI models for deployment on Edge AI devices in medical applications. - Implement and evaluate computer vision algorithms for real-time video and image analysis. - Collaborate with cross-functional teams to integrate AI solutions into embedded systems and medical devices. - Ensure compliance with SaMD classification, regulatory standards, and quality processes. - Document design specifications, test protocols, and validation reports in accordance with regulatory requirements. - Communicate technical findings and project updates effectively to stakeholders. Required Qualifications: - Bachelors or Masters degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field. - 58 years of experience in AI engineering, preferably in medical devices or healthcare technology. - Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius). - Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools. - AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding - Understanding of SaMD regulations, ISO 13485, IEC 62304, and related standards. - Experience with embedded systems development and real-time processing. - Excellent verbal and written communication skills. Nice to Have: - Experience testing or developing AI systems for surgical applications. - Familiarity with test data validation for computer vision and video-based AI models. - Knowledge of risk management processes (ISO 14971) and cybersecurity standards in healthcare. - Experience with cloud-edge integration and CI/CD pipelines for AI deployment.,