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

DEUTZ AG · Cologne · up to 20 hours a week

WerkstudentGerman needed: fluent

Still open on 2 Nov

You apply on the company's own website.

Key facts

Pay: Paid by a fixed pay scale (metal industry NRW)
Hours: Up to 20 hours a week
Language needed: German and English
Subject you study: Computer Science, Data Science, Artificial Intelligence, Engineering

Develop and train YOLO models for object detection and image classification
Support the development of LLM-based applications (OpenAI, Hugging Face, etc.)
Prepare data (cleaning, transformation, annotation) for AI training pipelines
Evaluate and fine-tune models (hyperparameter tuning, performance optimization)
Integrate trained models into microservices with Docker/Kubernetes (AKS)
Build automated training and deployment pipelines (Azure DevOps, GitHub Actions)
Implement monitoring and performance metrics (Prometheus, Grafana) to supervise AI systems
Document the architecture, results and best practices
Work closely 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 and 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

New exciting challenges every day and many ways to contribute creatively
Max. 20 hours / week
Attractive pay under the metal industry collective agreement NRW, including special payments
Extensive training and further education opportunities
Employee benefits from various providers online and on site
Extensive health care (e.g. flu/Covid vaccination, carotid artery screening) with its own company medical center
Company canteen and kiosk on site
Good transport and public transit connections as well as free parking
Discounted Urban Sports Club membership

Develop and train YOLO models for object detection and image classification
Support the development of LLM-based applications (OpenAI, Hugging Face, etc.)
Prepare data (cleaning, transformation, annotation) for AI training pipelines
Evaluate and fine-tune models (hyperparameter tuning, performance optimization)
Integrate trained models into microservices with Docker/Kubernetes (AKS)
Build automated training and deployment pipelines (Azure DevOps, GitHub Actions)
Implement monitoring and performance metrics (Prometheus, Grafana) to supervise AI systems
Document the architecture, results and best practices
Work closely 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 and 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

New exciting challenges every day and many ways to contribute creatively
Max. 20 hours / week
Attractive pay under the metal industry collective agreement NRW, including special payments
Extensive training and further education opportunities
Employee benefits from various providers online and on site
Extensive health care (e.g. flu/Covid vaccination, carotid artery screening) with its own company medical center
Company canteen and kiosk on site
Good transport and public transit connections as well as free parking
Discounted Urban Sports Club membership