Internships

AI Intern at GE Healthcare, Bangalore [LLM; GenAI; PhD; Stipend+Relocation Assistance]: Apply Now!

Apoorva

Jul 1, 2024
2 min read

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Applications are invited for the AI Intern position at GE Healthcare in Bangalore. Check the eligibility and other details below!

About GE Healthcare

GE HealthCare sees possibilities through innovation. They’re partnering with their customers to fulfil healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enable better patient care. Together, we are building a healthier future and living our purpose to create a world where healthcare has no limits.

Job Description Summary

As a PhD intern in AI, you will collaboratively execute technology programs in the development and research of AI algorithms to improve medical workflows. You will interact with technologists and engineers to develop and deliver novel solutions for complex, multi-disciplinary problems for GE Healthcare.

GE HealthCare is a leading global innovator of medical technology and digital solutions. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Roles and Responsibilities

They are looking for a highly motivated individual who is passionate about large language models, Transformers, and GenAI to join the Healthcare Technology and Innovation team.
As an intern, you will focus on exciting generative text and multi-modal problems related to segmentation, large-scale generative models, large-scale pretraining, prompt tuning, explainability, robustness, responsible AI, quantization, etc.
Conducting experiments using novel machine learning algorithms, particularly in LLM, to automate clinical tasks using one or more medical images, electronic medical records, workflows, and clinical reports.
Demonstrating algorithms to meet accuracy requirements on the general subject population through statistical analyses and error estimation.
Exploring learning from human feedback and assisting humans in evaluating AI.
Building prototypes to enable the development of high-performance AI algorithms in scalable, product-ready code.
Working with large-scale datasets, designing, and developing generative algorithms.

Qualification

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 definitions.
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 modelling (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