Intern

Intern

Job Description Summary

As an Intern- AI and Data Science for MICT team, you will lead the development of an intelligent system capable of automating root cause analysis (RCA) from historical service record data. This role involves designing and deploying a scalable AI model that can process unstructured complaint text data and extract actionable insights such as root causes, resolutions, and parts replaced across a wide range of product categories.

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. For more information visit: https://www.gehealthcare.in/

Job Description

Roles and 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.

Required Qualification:

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

• 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.

Inclusion and Diversity

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.

Additional Information

Experience Level

Entry Level