• You support model training, fine-tuning, and evaluation for document-understanding tasks

• You perform exploratory data analysis and quality checks on annotated datasets

• You implement or extend Python utilities for preprocessing, data conversion, and evaluation

• You run experiments on our internal GPU infrastructure under supervision

• You summarize experiment results and contribute to decision-making for the next iteration steps

• You collaborate closely with ML engineers and the annotation lead to ensure data consistency and effective model feedback loops

• You maintain internal documentation for reproducibility and compliance

• You are currently studying for your Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field

• You have successfully completed courses in Machine Learning or Neural Networks

• You understand core ML concepts and model evaluation methods

• You have good programming skills in Python and experience with Linux/Unix systems

• You are familiar and have hands-on experience with ML frameworks such as PyTorch

• You have an understanding of (Vision)Large language models architecture and concept

• You think analytically, pay attention to details, and are curious about new technologies

• You communicate clearly in English (our working language)

• You are reliable, trustworthy, and enjoy working in a team

• You have taken courses or gained experience in Computer Vision or Natural Language Processing

• You have worked with tools like Hugging Face Transformers, vLLM, or ML experiment tracking tools (e.g., Kubeflow, MLflow, Weights & Biases)

• You have experience with Computer Vision libraries such as OpenCV, PIL, NumPy, or Pandas

• You understand data annotation workflows, OCR, or Document Understanding tasks

• You have prior research, internship, or project experience in AI/ML

• You are interested in optimizing model performance and evaluating data quality

• You have the choice - work remotely from home or in our bright office with two spacious rooftop terraces and a high-quality canteen
• Flexibility - early bird or night owl? You have flexible working hours
• Food allowance of €3 per meal - we have a great canteen where you can enjoy delicious food
• Variety of team events - we understand the importance of team cohesion so we regularly organize events and fun activities
• Free underground parking - we want to ensure our employees a comfortable and stress-free way to work
• A feedback-giving culture full of purpose and community. Check out what employees and candidates say about us on kununu and Glassdoor

Sounds like the right challenge for you?

Julia Partusch-Asik
HR Manager & Dog lover
julia.partusch@gini.net