This role is responsible for building high-performance AI models for lesion detection, segmentation, measurement, and classification in ultrasound products
Job Summary
This role is responsible for building high-performance AI models for lesion detection, segmentation, measurement, and classification in ultrasound products.
The candidate will collaborate closely with clinical and engineering teams to deliver AI solutions for ultrasound users and translate clinical needs into AI model design.
GE HealthCare offers a culture that fosters care, collaboration, and support with career opportunities and a total rewards package designed to unlock ambition.
Matching Summary
This role is responsible for building high-performance AI models for lesion detection, segmentation, measurement, and classification in ultrasound products.
Skills & Requirements
Must-have
Deep learning for medical ultrasound
Ultrasound image and video data processing
Model compression and optimization
Proficiency in PyTorch or TensorFlow
Python programming
Computer vision CNN techniques
Nice-to-have
Collaboration with clinical and product teams
Passion for medical AI
Good teamwork and communication skills
Tracking state-of-the-art medical imaging AI research
Key Requirements
Bachelor's degree with 3+ years experience or Master’s with 2+ years or Doctorate in related fields
Solid background in computer vision and image processing
Experience with ML algorithms like Decision Tree, Random Forest, SVM
Experience in dataset construction and quality control for DICOM data