Opportunity brief
GE Healthcare is hiring for the Role of Research Intern!
Responsibilities of the Intern:
- 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.
Requirements:
- Currently pursuing a PhD in Computer Science / Data Sciences / AI from a reputed institute
- Understanding of building large scale AI such as generative AI models, large vision/language models, and multi-modal AI models for problems related to segmentation, detection, quantification, measurements, classification, etc.
- Implementation experience with a variety of high-level languages (e.g. Python, C++)
- Staying current on published state-of-the-art algorithms and competing technologies.
- Experience and demonstrated capability to handle challenges with vague or abstract problem definition.
- Experience with frameworks and tools such as Keras, HuggingFace, Vector databases, PyTorch, Tensorflow etc.
- Experience working with large scale AI training.
- An in-depth understanding of machine learning algorithms and modeling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
- Ability to work independently and as a team player