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Key skills for this role
Roles and Responsibilities
• Specific areas of required expertise are: Image analytics, Deep Learning, Inverse problems in Imaging, Clinical decisioning, super resolution reconstruction.
• Expertise in Deep Learning and Computer Vision/ Image processing, TensorFlow, Pytorch and Keras is required.
• Experience with Generative AI techniques including diffusion models, GANs, foundation vision models, multimodal models, and large language models (LLMs).
• Experience applying generative AI to medical imaging use cases such as image synthesis, image reconstruction, report generation, data augmentation, segmentation, and clinical workflow automation.
• Familiarity with vision-language models (VLMs), retrieval-augmented generation (RAG), and multimodal AI systems for healthcare applications.
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GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
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Full-time
Entry
Onsite
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