Student Assistant (Hiwi) for Deployment of RAG Application at Helmholtz

08.08.2024, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

For the upcoming winter semester, the AI consultant team at Helmholtz Munich is looking for a highly motivated student assistant to contribute to the deployment of an open-source Retrieval-Augmented Generation (RAG) application within Helmholtz Munich.

Your Profile

• Proficient in Python, with practical experience in developing and deploying applications.
• Strong understanding of machine learning concepts, especially in NLP and retrieval-augmented models.
• Familiarity with Docker, Kubernetes, or other container and orchestration tools.
• Knowledge of RESTful APIs and web services.
• A good team player who is comfortable working in an agile environment.
• Currently enrolled as a Master's student in computer science, information security, data science, or a related field.

Your Tasks

• Familiarize yourself with the current RAG model and underlying technologies to understand their architecture and functionalities.
• Design and implement a deployment pipeline for the application.
• Document the deployment process and provide training/support to end-users.

What We Offer

• Competitive student salary (6-month contract).
• Flexible working hours to accommodate your study schedule.
• An opportunity to work in one of Europe's leading research organizations and gain valuable experience in cutting-edge AI deployment.
• Access to a network of scientists and professionals in a diverse and collaborative environment.

Application Process

Please send your CV and a link to a code repository (e.g., GitHub, GitLab, etc.) to isra.mekki@helmholtz-munich.de.

Kontakt: isra.mekki@helmholtz-munich.de