AUDI AG logo

Internship - Machine Learning with Artificial Intelligence

AUDI AG

Work Environment

The increasing digitization is sustainably changing the work and business world in the automotive industry. Artificial Intelligence (AI) plays a central role in this transformation. AI enables the improvement of existing and the development of novel disruptive technologies throughout the entire vehicle lifecycle. Our Machine Learning/Data Analytics department plays a central cross-sectional role in this context. In the Machine Learning team, we develop AI-based products focusing on Computer Vision and Large Language Models for various business areas of AUDI AG. The team is involved in the entire process - from data processing to the development of state-of-the-art AI architectures and their deployment. Do you share a passion for AI? Then support our project team with exciting use cases!

Job Purpose/Role

  • Assist in the development of pipelines for training, validation, and deployment of deep learning models and LLMs.
  • Support data preprocessing, quality assurance, and analysis.
  • Contribute to general tasks and activities of the entire team.

Key Requirements/Skills/Experience

  • You are enrolled in a STEM field of study or similar.
  • You have excellent programming skills in Python.
  • You possess excellent knowledge of modern solutions in the areas of Computer Vision and LLM, and knowledge of ML-relevant tools (PyTorch, Numpy, Docker, etc.).
  • You have experience in deploying ML models (AWS, Azure, FastAPI, streamlit, etc.).
  • You demonstrate quick comprehension, independent work, high communication skills, and enjoy working with interdisciplinary project teams.

Additional Information

This position is available at AUDI AG in Ingolstadt.

Generally, all positions can be worked part-time.

We embrace diversity, actively encourage inclusion, and create an environment that fosters each employee's individuality in the interests of the company.

Reference code: I-P-105163.

Benefits
Extracted with AI

  • Diversity and inclusion
  • Part-time work options

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