ai - Edge AI Engineer - Medical Devices & Computer Vision
7 hours ago
Edge AI Engineer - Medical Devices & Computer Vision.
Experience Level : 5- 8 Years.
Department : Edge AI & Embedded Systems.
About the Role :
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.
Key Responsibilities :
- 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 :
- 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.
Nice to Have :
- Familiarity with test data validation for computer vision and video-based AI models.
- Knowledge of risk management processes (ISO and cybersecurity standards in healthcare.
- Experience with cloud-edge integration and CI/CD pipelines for AI deployment.
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