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

1 week 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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