GE Healthcare invites applications for its MR DL Applications Internship 2025 in Bengaluru. This GE Healthcare Hiring for co-op program offers Masters/PhD students specializing in Deep Learning a unique opportunity to develop medical imaging applications using cutting-edge AI/ML technologies. Gain hands-on experience with MRI Advanced Concepts while working alongside global healthcare innovators.
GE Healthcare Hiring 2025 Overview
| Company: GE Healthcare | |
| Role: MR DL Applications Intern | Experience Level: Freshers |
| Location: Bengaluru, Karnataka | Eligible Batch: 2025, 2026 |
| Job Type: Internship | Salary/Stipend: ₹3 – ₹5 LPA (Expected) |
MR DL Applications Intern Job Description
As an MR DL Applications Intern at GE Healthcare, you’ll contribute to developing AI-powered solutions for diagnostic MRI systems. This AI ML intern role combines deep learning expertise with practical medical imaging challenges.
Key Responsibilities in AI ML Internship:
- Develop DL-based applications focusing on medical image quality enhancement and workflow optimization
- Participate in complete application development lifecycle – requirements analysis, coding, testing & documentation
- Create automated test scripts using Python for verification/validation of imaging algorithms
- Collaborate with cross-functional teams including researchers, physicists, and biomedical experts
- Present project progress through technical reports and presentations
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Required Skills & Qualifications:
Deep Learning Skills Required for GE Summer Internship:
- Strong programming skills in Python/C++/MATLAB
- Practical experience with PyTorch & TensorFlow frameworks
- Understanding of signal processing and mathematical modeling
- Ability to translate complex technical concepts into clear documentation
- Problem-solving skills for medical imaging challenges
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Eligibility Criteria for Application Development Internship:
Education: Pursuing M.Tech/MS/PhD in Computer Science, Electrical Engineering or related fields.
Specialization: Deep Learning/Artificial Intelligence with medical imaging interest
Fresher graduates from the 2025 and 2026 batches are eligible to apply.
Internship Location: Bangalore, Karnataka, India
Perks and Benefits of GE Healthcare Job:
- Hands-on experience with MRI Advanced Concepts (ACAI) projects
- Skill development in medical imaging AI application development
- Inclusive work culture with global collaboration opportunities
- Relocation assistance for outstation candidates
- Networking opportunities with healthcare technology experts
Career Growth Opportunities
- Potential for advancement to AI Research Engineer roles based on performance and requirements.
- Specialization pathways in medical imaging algorithms/computational MRI
Salary/Stipend in MR DL Applications Internship at GE Healthcare India:
It’s a paid internship with an estimated MR DL Applications Intern Salary/Stipend at GE Healthcare is around INR 3 to 5 Lakhs Per Annum (LPA).
How to Apply for the GE Healthcare Internship in Bangalore:
To apply or for more information regarding Deep Learning internships for students, visit the GE Healthcare career page using the following link.
Application Deadline: Rolling basis (apply early).
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Frequently Asked Questions (FAQ)
(Q1) Can 2024 graduates apply for this internship?
(A1) This opportunity is specifically for 2025 and 2026 graduating students pursuing advanced degrees.
(Q2) Is Python programming experience mandatory?
(A2) Yes, Python proficiency along with DL frameworks (PyTorch/TensorFlow) is essential for test automation and algorithm development.
(Q3) Will interns get hands-on MRI equipment experience?
(A3) While focus is on application development, interns will work with medical imaging systems and specialized compute environments.
What eaxctly doe GE Healthcare do?
A $18+ billion division of General Electric, GE Healthcare is a global leader in medical technology and digital solutions. In India, the company drives innovation in diagnostic imaging, patient monitoring, and healthcare digitization through its Bengaluru R&D center. Their 125+ year legacy focuses on shaping the future of precision healthcare through AI-powered solutions.
