Position Details
About this role
This role involves designing, developing, and deploying AI and GenAI features into medical devices, focusing on cloud and edge deployment, model optimization, and regulatory compliance.
Key Responsibilities
- Develop and deploy AI software
- Optimize models for real-time inference
- Build containerized AI services
- Support MLOps and monitoring
- Ensure regulatory compliance
Technical Overview
The technical environment includes AI/ML model deployment, containerization with Docker, orchestration with Kubernetes, cloud platforms (Azure, GCP, AWS), and medical device standards.
Ideal Candidate
The ideal candidate is a mid-level AI deployment engineer with at least 4 years of experience in deploying AI/ML models on cloud and edge devices, proficient in Python, C++, containerization, and cloud platforms, with knowledge of medical device standards.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud deployment (Azure, GCP, AWS), No experience with regulatory standards (ISO 13485, IEC 62304, ISO 14971), Less than 2 years of relevant work experience, No experience with AI/ML model deployment
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