Join GE Healthcare as AI Engineering Intern in Bengaluru – Work on LLMs, GenAI & Agentic AI for healthcare innovation. M.Tech/ME students apply now!
Table of Contents
💼 Job Role & Category
Role: Intern – IB Engineering (AI and Data Science for MICT team)
Category: Co-op/Internship, Onsite
Job ID: R4030698
Department: Healthcare Imaging – Engineering/Technology
🏢 Why Join GE Healthcare?
GE Healthcare is a leading global medical technology and digital solutions innovator with a powerful purpose: to create a world where healthcare has no limits. As a Fortune 500 company with over 50,000 employees worldwide, GE Healthcare combines cutting-edge technology with deep medical expertise to deliver innovative solutions that improve patient outcomes. The company operates in over 160 countries, serving healthcare providers with advanced medical imaging, patient monitoring, diagnostics, and digital solutions.
Known for its culture of innovation and excellence, GE Healthcare has been recognized as a leader in medical technology innovation and digital transformation. The company fosters an environment where every voice makes a difference and every difference builds a healthier world. With a strong focus on AI and digital health solutions, GE Healthcare offers interns the unique opportunity to work on real-world problems that directly impact global healthcare delivery.
📝 Job Summary
Join GE Healthcare’s MICT team as an AI Engineering Intern, where you’ll lead the development of an intelligent system capable of automating root cause analysis (RCA) from historical service record data. This internship offers hands-on experience in designing and deploying scalable AI models that process unstructured complaint text data and extract actionable insights across a wide range of medical product categories. You’ll work with cutting-edge technologies including Large Language Models, GenAI, and Agentic AI to transform healthcare service operations.
🔧 Key Responsibilities 🔧
- 🤖 Develop and deploy AI models to analyze closed service records across various product configurations in Install Base
- 📊 Extract and organize critical information including root causes, resolutions, and relevant keywords for comprehensive analysis
- ✅ Ensure high accuracy and reliability of model outputs with auto-validation capabilities
- 🔄 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 Retrieval-Augmented Generation (RAG) framework to enhance model responses
- 🤝 Collaborate with domain experts to validate model outputs and incorporate feedback
- 💡 Explore and execute model training strategies and agent introduction for performance optimization
- ☁️ Work with cloud platforms and tools (e.g., AWS) leveraging Python for model development and deployment
- 📈 Build scalable AI solutions handling large-scale datasets with minimal manual intervention
✅ Who Can Apply?
🎓 Education Requirements:
- Currently pursuing post-graduation (M.Tech or ME) in:
- Computer Science
- Artificial Intelligence
- Data Sciences
- From a reputed institute
💡 Required Skills:
- Understanding of large-scale AI including:
- Generative AI models
- Large vision/language models
- Agentic AI models
- Strong proficiency in Python, C++ and AI/ML frameworks
- Experience with prompt engineering
- Knowledge of RAG-based architectures and frameworks
- Familiarity with Vector databases
- Ability to work with large-scale datasets
- Knowledge of cloud infrastructure and deployment practices
🌟 Preferred Qualifications:
- Familiarity with medical products and related service data
- Understanding of RCA methodologies
- Prior experience in AI projects (highly desirable)
- Ability to learn quickly and adapt to new challenges
💼 Experience Level:
- Student pursuing post-graduation
- Prior AI project experience desirable but not mandatory
🌍 Work Location & Type
- Location: Bengaluru, Karnataka, India – 560066
- Work Type: Onsite
- Relocation Assistance: No
💰 Salary Insights
Based on industry standards for AI/ML internships at top healthcare technology companies like GE Healthcare in Bengaluru, the expected stipend range is:
- Monthly Stipend: ₹30,000 – ₹50,000 per month
- Annual Equivalent: Up to ₹6 LPA (for full internship duration)
The actual compensation may include:
- Performance-based incentives
- Project completion bonuses
- Potential for pre-placement offer (PPO) based on performance
- Varies by academic background and prior experience
Note: Top performers often receive full-time offers with packages ranging from ₹12-20 LPA upon graduation
🎁 Perks & Benefits
GE Healthcare offers comprehensive benefits designed to unlock your ambition:
- 🏥 Health & Medical Coverage: Comprehensive health insurance during internship
- 📚 Learning & Development: Access to GE’s global learning platforms and technical resources
- 💼 Career Growth: Mentorship from industry experts and potential PPO opportunities
- 🌐 Global Exposure: Work on projects with global impact and collaborate with international teams
- 💻 Tech Resources: Access to cutting-edge AI/ML tools and cloud infrastructure
- 🏢 World-Class Infrastructure: Work in state-of-the-art facilities in Bengaluru
- 🎯 Project Ownership: Lead real-world projects that directly impact healthcare delivery
📝 How to Apply
📢 How to Apply for GE Healthcare Internship 2025:
- Click on the “Apply” button below
- Visit the official GE Healthcare careers portal
- Search for Job ID: R4030698
- Register/Login to create your candidate profile
- Fill in all required educational and personal details
- Upload your updated resume highlighting AI/ML projects
- Attach relevant certifications or project portfolios
- Review all information carefully
- Submit your application
📢 Share this opportunity with your classmates and friends! 😇
❓ Frequently Asked Questions (FAQs)
Q1: What is the selection process for this internship?
A: The typical selection process at GE Healthcare includes online application screening, technical assessment focusing on AI/ML concepts, coding round, and technical + HR interviews. The entire process usually takes 2-4 weeks.
Q2: Is this a paid internship?
A: Yes, GE Healthcare offers competitive stipends for their internship programs, typically ranging from ₹30,000-50,000 per month based on qualifications.
Q3: What is the duration of this internship?
A: Duration not specified in job description. Typically, GE Healthcare internships range from 3-6 months, with possibility of extension based on project requirements.
Q4: Can this internship lead to a full-time position?
A: GE Healthcare has a strong track record of offering Pre-Placement Offers (PPOs) to high-performing interns. Many interns convert to full-time roles upon graduation.
Q5: What specific AI/ML skills should I highlight in my application?
A: Focus on experience with LLMs, transformer models, Python programming, RAG architectures, and any healthcare or NLP projects. Include any relevant coursework or certifications in GenAI or deep learning.