GE Healthcare Off Campus Recruitment has announced a job notification for the post of Intern for the Bengaluru, Karnataka, India locations. Both Bachelor’s and Master’s degree candidates can apply for off campus placements with GE Healthcare. Interested and eligible candidates are encouraged to apply before the specified deadline. The detailed eligibility criteria, application process, and registration information are provided below.
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GE Healthcare Off Campus drive 2025:
| Company Name | GE Healthcare |
| Post Name | Research Intern- AI |
| Salary | up to ₹36k/month* |
| Experience | Fresher |
| Job Location | Bengaluru |
| Website | www.gehealthcare.com |
| Last Date | ASAP |
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Eligibility Criteria for GE Healthcare Off Campus Drive 2025
Job Responsibilities:
- We are looking for a highly motivated individual, passionate about Large Language Models / Transformers /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 the area of LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, workflows, and clinical reports.
- Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation.
- Exploring learning from human feedback and assisting humans evaluating AI.
- Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code.
- Working with large-scale datasets, designing, and developing generative algorithms.
Qualification required:
- Currently pursuing a PhD in Computer Science / Data Sciences / AI from a reputed institute
Preferred skill:
- 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
Selection Process: GE Healthcare Off Campus 2025
- Application Screening
- Online Assessment
- Technical Interviews
- HR Interview
- Final Selection
About GE Healthcare:
GE HealthCare is a leading global medical technology and digital solutions innovator. 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
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Candidates are advised to apply as soon as possible before the application link expires.
How to Apply for GE Healthcare Off Campus 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section.


