This role is responsible for end-to-end AI algorithm integration, model conversion, quantization, and performance optimization for medical ultrasound systems
Job Summary
This role is responsible for end-to-end AI algorithm integration, model conversion, quantization, and performance optimization for medical ultrasound systems.
The position involves collaborating with algorithm engineers, software engineers, and clinical ultrasound teams to define integration requirements and solve technical issues during productization.
GE HealthCare offers a culture that fosters care, collaboration, and support with total rewards designed to unlock ambition and provide career opportunities.
Matching Summary
This role is responsible for end-to-end AI algorithm integration, model conversion, quantization, and performance optimization for medical ultrasound systems.
Skills & Requirements
Must-have
deep learning model deployment
AI model quantization and pruning
real-time ultrasound AI integration
Python and C/C++ programming
inference engine optimization
computer vision CNN experience
Nice-to-have
teamwork and communication skills
problem-solving and logical thinking
collaboration with cross-functional teams
Key Requirements
Bachelor's Degree with 3+ years experience or higher
Master's Degree with 2+ years experience or higher
Degree in Computer Science, Biomedical Engineering, or related fields