Edge AI Engineer – Medical Devices & Computer Vision
Edge AI Engineer – Medical Devices & Computer Vision
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1 Vacancy
Job Description
Experience Level: 5 8 Years
Department: Edge AI & Embedded Systems
We are looking for a highly motivated and technically proficient Edge AI Engineer with a strong
background in Edge AI devices computer vision algorithms and AI model deployment in the MedTech
domain. This role is pivotal in developing and optimizing AI-powered medical devices that operate at the
edge ensuring performance reliability and compliance with healthcare standards.
- 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.
- Bachelors or Masters degree in Computer Engineering Electrical Engineering Biomedical Engineering or related field.
- 5 8 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.
- 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.
Employment Type
Full Time
