Your tasks

• Set up agent frameworks: Help with the installation and customization of AI agent tools.
• Benchmarking: Comparing the performance of AI models.
• Create data pipelines: Processing and transforming data to support the team.
• Provide multimodal tools: Integrating various data types for AI agents.
• Train classical ML models: Assist in training and validating models.
• Deploy inference services: Making models available in production.
• Monitoring and optimization: Participate in monitoring and improving model performance.
• Create documentation: Recording processes and results.
• Collaboration: Working with interdisciplinary teams.
• Evaluate technologies: Investigating new tools and methods in the AI field to support the team.

Your qualifications

• Current studies of computer science or a comparable field of studies with interest in AI and Machine Learning.
• Python skills: Experience in programming with Python.
• Git skills: Experience in working with Git environments and its tools.
• REST services: Ability to implement and utilize RESTful APIs (e.g. FastAPI).
• MCP services: Familiarity with implementing Model Context Protocol (MCP) services (e.g. FastMCP).
• Knowledge of LLMs: Understanding of Large Language Models and embedding models.
• RAG knowledge: Experience with Retrieval-Augmented Generation (RAG) methods.
• Classical ML approaches: Basic knowledge of classical machine learning techniques.
• Docker skills: Experience with Docker for containerizing applications.
• Data processing: Knowledge in data processing and analysis.
• Teamwork: Ability to collaborate in interdisciplinary teams.
• Problem-solving skills: Strong analytical and problem-solving abilities.
• Very good command of written and spoken English

Interested?