GE Healthcare Recruitment 2025 | Intern | Apply Now!

GE Healthcare Off Campus Drive 2025: GE Healthcare a leading company, is set to conduct an Off Campus Drive in 2025, offering opportunities for freshers to join as GE Healthcare intern for Bangalore Office. A student with having bachelor’s degree in various disciplines can apply for the GE Healthcare off campus drive 2025. Interested and eligible candidates can read more details below.

GE Healthcare Off Campus 2025:

GE Healthcare Off Campus Responsibilities:

• We are looking for a passionate and highly motivated individual, who has some knowledge on Large Language Models (LLMs)/ Transformers/ GenAI/ Agentic AI, to join our MICT team at GE Healthcare, to do internship.

• As an intern, you are expected to develop and deploy an AI model to analyse closed service records spanning across various product configurations in Install Base.

• Extract and organize critical information such as root causes, resolutions, and relevant keywords to represent the distribution of contributing factors, enabling a comprehensive and holistic analysis.

• Ensure high accuracy and reliability of model outputs with possible auto-validation, minimizing hallucinations and manual revalidation, involving large- scale datasets.

• Implement robust data preprocessing pipelines to clean, normalize, and structure service record data. • Evaluate and fine-tune Large Language Models (LLMs) such as GPT-4o for domain specific RCA tasks.

• Design and integrate a Retrieval-Augmented Generation (RAG) framework to enhance model responses using historical records and technical documentation.

• Collaborate with domain experts to validate model outputs and incorporate feedback for continuous improvement.

• Explore and execute model training strategies and agent introduction if pre-trained LLMs do not meet performance expectations.

• Work with cloud platforms and tools (e.g., AWS) and leverage Python for model development and deployment

GE Healthcare Off Campus Eligibility Criteria:

• Currently pursuing post- graduation (M. Tech or ME) in Computer Science/ AI/ Data sciences from a reputed institute.

Preferred skill:

• Understanding of large-scale AI such as generative AI models, large vision/language models, and Agentic AI models.

• Strong proficiency in Python, C++ and AI/ML frameworks.

• Experience with prompt engineering, RAG-based architectures and frameworks such as Vector databases.

• Familiarity with medical products and related service data and RCA methodologies.

• Ability to work with large-scale datasets and build scalable AI solutions.

• Knowledge of cloud infrastructure and deployment practices.

• Prior experience in AI projects is highly desirable; however, the ability to learn quickly and adapt to new challenges is considered essential.

Click here for HR Interview Questions and Answers

GE Healthcare off Campus Selection Process:

The GE Healthcare selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Application: Candidates typically apply for positions through GE Healthcare’s official website, job boards, or career portals.
2. Resume Screening: Recruiters review submitted resumes to identify candidates who meet the job requirements and possess relevant skills and experience.
3. Initial Assessment: Shortlisted candidates may be required to complete an initial assessment, which could include online tests, assessments, or questionnaires designed to evaluate their skills and suitability for the role.
4. Phone/Video Interview: Candidates who pass the initial assessment may be invited for a phone or video interview. This interview is usually conducted by a recruiter or a member of the hiring team and focuses on assessing the candidate’s qualifications, experience, and fit for the role.
5. Technical/Behavioral Interview: Depending on the role, candidates may undergo one or more technical or behavioral interviews. These interviews may assess technical knowledge, problem-solving abilities, soft skills, communication abilities, teamwork, and other qualities important for success in the role and within the company culture.
6. Case Study/Presentation (Optional): Depending on the position, candidates might be asked to prepare and present a case study, project, or presentation relevant to the role during the interview process.
7. On-site Interviews (Optional): In some cases, candidates may be invited for on-site interviews at one of GE Healthcare’s office locations. These interviews typically involve meeting with multiple team members, managers, and other stakeholders.
8. Offer Extension: Candidates who successfully navigate the interview process may receive a job offer from GE Healthcare. The offer will include details such as compensation, benefits, and other relevant terms and conditions.
9. Acceptance and Onboarding: Once an offer is accepted, the candidate will go through the onboarding process, which includes completing paperwork, learning about company policies and procedures, and getting acquainted with their new role and team.

Please note that the specific details of the GE Healthcare selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join GE Healthcare?

• Industry leading healthcare
• Educational resources
• Savings and investments
• Maternity and paternity leave
• Opportunities to network and connect

Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.