Research Intern - AI

DevToDesk; India; On-site; INR 223,000 - 391,000; Full time

Job summary

GE HealthCare invites applications for a Research Intern to support AI research projects in medical imaging and diagnostics. You will work with research scientists on model development, experimentation, and evaluation, contributing to papers and reports.

Ideal candidates are pursuing a Master’s or PhD in a relevant field, with strong ML/DL foundations and Python proficiency using common ML frameworks. This internship offers exposure to cross-functional research and engineering teams within GE

Qualifications

• Currently pursuing a Master’s degree or PhD in a relevant technical field.
• Solid grounding in machine learning or deep learning fundamentals.
• Programming proficiency in Python and common ML frameworks.

Responsibilities

• Assist with data preparation and experimentation for AI research projects.
• Implement and evaluate machine-learning or deep-learning models.
• Document experiment results and contribute to internal reports or papers.
• Collaborate with cross-functional research and engineering teams.

Skills

ML/DL fundamentals

Python programming

Education

Master's or PhD in relevant field

Tools

TensorFlow

PyTorch

Job description

GE HealthCare is hiring a Research Intern to support AI research projects tied to medical imaging and diagnostics. You'll work with research scientists on model development, experimentation, and evaluation.

What You'll Do

• Assist with data preparation and experimentation for AI research projects
• Implement and evaluate machine-learning or deep-learning models
• Document experiment results and contribute to internal reports or papers
• Collaborate with cross-functional research and engineering teams

What We're Looking For

• Currently pursuing a Master's degree or PhD in a relevant technical field
• Solid grounding in machine learning or deep learning fundamentals
• Programming proficiency in Python and common ML frameworks

About GE HealthCare

GE HealthCare is a medical technology and digital solutions company, spun off from General Electric, building imaging, diagnostics, and AI-enabled healthcare tools.