Working Student (m/f/d) Computer Vision & AI Development (YOLO, LLM)

Development and training of YOLO models for object detection and image classification Support in the development of LLM-based applications (OpenAI, Hugging Face, etc.) Data preparation (cleaning, transformation, annotation) for AI training pipelines Evaluation and fine-tuning of models (hyperparameter tuning, performance optimization) Integration of trained models into microservices with Docker/Kubernetes (AKS) Construction of automated training and deployment pipelines (Azure DevOps, GitHub Actions) Implementation of monitoring and performance metrics (Prometheus, Grafana) for monitoring AI systems Documentation of architecture, results, and best practices Close collaboration with cloud, data, and development teams

Enrolled student (m/f/d) in computer science, data science, AI, engineering, or a related field First practical experience with YOLO (e.g., YOLOv5, YOLOv8) or other object detection frameworks Basic knowledge of LLM frameworks (e.g., HuggingFace Transformers, LangChain, OpenAI API) Good knowledge of Python and relevant libraries (PyTorch, TensorFlow, OpenCV, Pandas) First experience with cloud & container technologies (Azure, Docker, Kubernetes) desirable Interest in MLOps, data pipelines, and automated training processes Analytical and structured thinking Very good German and English skills