INTERNSHIP DETAILS

Machine Learning Working Student/Internship (m/f/d)

CompanyGini GmbH
LocationMunich
Work ModeOn Site
PostedDecember 18, 2025
Internship Information
Core Responsibilities
You will support model training, fine-tuning, and evaluation for document-understanding tasks, and perform exploratory data analysis on annotated datasets. Additionally, you will collaborate closely with ML engineers to ensure data consistency and effective model feedback loops.
Internship Type
part time
Company Size
117
Visa Sponsorship
No
Language
English
Working Hours
20 hours
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About The Company
Gini simplifies payments. We offer payment solutions and intelligent data extraction for banks, insurance companies and e-commerce to simplify processes the magic way. The core of our applications is our self-developed artificial intelligence to extract and process information from unstructured documents in real-time. Gini's best-known application is Photo Payment, which is used by the largest German banks, such as Deutsche Bank, Sparkassen, DKB, Commerzbank, Consorsbank and many others. Gini Pay Connect is another Gini solution that connects insurance apps of private health insurers with the banking app to simplify submissions and payments. At Gini, we value self-organization and autonomy and combine this with flat hierarchies. Our award-winning New Work concept makes Gini one of the leading companies in Germany. Our values of excellence, responsibility, and warmth shape the way we work together at Gini every day.
About the Role

Your playing field at Gini

  • 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


Your Team

To support the continuous development, evaluation, and improvement of our AI models and data pipelines, we are looking for a motivated Working Student or Intern (m/f/d) to join our CVIE (Computer Vision & Information Extraction) team. In this role, you’ll assist with research, experimentation, and data preparation tasks that contribute directly to improving our AI models and exploring new AI-driven product features.


Sounds like the right challenge for you?

Sounds like the right challenge for you?

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


Skills to be successful

  • 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


Nice-to-Haves:
  • 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



Your perks

  • 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

Key Skills
Machine LearningNeural NetworksPythonLinuxPyTorchComputer VisionNatural Language ProcessingData AnalysisData QualityExperimentationDocumentationTeam CollaborationAnalytical ThinkingAttention to DetailCuriosityCommunication
Categories
TechnologyData & AnalyticsSoftwareEngineeringScience & Research
Benefits
Flexible Working HoursFood AllowanceTeam EventsFree Underground Parking