Codvo.ai - Edge AI Engineer - Medical Devices & Computer Vision

3 weeks ago

Pune, India Codvo.ai Full time

Edge AI Engineer - Medical Devices & Computer Vision.Experience Level : 5- 8 Years.Department : Edge AI & Embedded Systems.About the Role :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.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.- 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 :- 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. (ref:hirist.tech)

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