• 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 syst ems

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

• You have an understanding and hands-on experience with (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

• Flexible working: You work one day per week from our bright Munich office with two rooftop terraces, and can work flexibly from home on the remaining days.

• Flexible working hours: Shape your workday in a way that fits your rhythm best

• Vacation: 30 days of paid vacation

• Food: €3 meal allowance per working day in our high-quality employee restaurant ????️

• Team & culture: Regular team and company events and an open, feedback-driven culture with real team spirit

• Mobility: Free underground parking and JobRad leasing with attractive tax benefits ????

• Equipment: State-of-the-art Apple devices and ergonomic office equipment for productive work

• Lots of different team events: we know how important team cohesion is, so we regularly organize team and company-wide events and activities

• Shared feedback culture with purpose : a feedback-driven culture full of purpose and community. Click on kununu and Glassdoor to find out what our employees and candidates are saying about Gini

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