Stagiaire Ingénieur(e) De Recherche & Développement (h/f) - Modèle Génératif Agentique : Assistant Pour La Migration D'applications Médicales
GE HealthCare Technologies
Buc, France
Not specified
Machine learning master 2 or engineering cycle
Web development with javascript and typescript
Agent-based development experience in python
GE HealthCare Technologies is seeking a Research & Development Intern to assist in migrating medical applications to a microservice architecture using AI techniques. The ideal candidate should be pursuing a Master’s degree in Machine Learning, with experience in web development and a solid understanding of generative AI
Job Summary
The intern will join the Advanced Visualization team at GE HealthCare's European headquarters in Buc to migrate legacy medical applications to a modern microservice architecture.
Key responsibilities include developing an AI-powered development assistant to centralize knowledge and automate the porting of code from monolithic systems to new web-based viewers.
The role requires implementing custom AI agents for 'vibe coding' and integrating the Model Context Protocol (MCP) to create automated training content and preserve organizational knowledge.
Matching Summary
Match Score: 75
GE HealthCare Technologies is seeking a Research & Development Intern to assist in migrating medical applications to a microservice architecture using AI techniques. The ideal candidate should be pursuing a Master’s degree in Machine Learning, with experience in web development and a solid understanding of generative AI.
Skills & Requirements
Must-have
Machine Learning Master 2 or Engineering Cycle
Web development with JavaScript and TypeScript
Agent-based development experience in Python
Generative AI knowledge including MCP server
Proficiency in C++ or Java programming
Nice-to-have
Autonomy and analytical thinking
Passion for software development
Experience with legacy code migration
Interest in medical imaging applications
Key Requirements
Current enrollment in Master 2 or final year engineering school
Background in Machine Learning
Strong proficiency in C++ or Java
Experience with agent-based development frameworks