Job Description

To be filled:


03/14/2026
Work Environment


We develop innovative solutions for vehicle diagnostics, predictive maintenance and automated testing, help optimize components and provide valuable data-driven insights. To achieve this, we rely on state-of-the-art methods from data analytics, machine/deep learning and LLM-based approaches, always applying best practices and the right tools. Software development is an integral part of our work to ensure sustainable impact and scalability.
Job Purpose/Role


You develop AI-based solutions for log data analysis to ensure reliable electronic and software architectures You implement scalable PySpark pipelines for processing large datasets You design and evaluate ML and LLM-based methods for interpreting log data You collaborate closely with data engineers and domain experts to validate detection logic You contribute to production-ready software for automotive diagnostics You receive individually tailored tasks and gain insights into various projects in data analytics and AI

Key Requirements/Skills/Experience


You are enrolled in a Master’s program in Computer Science, Data Engineering, Artificial Intelligence, or a comparable field You have strong programming skills in Python and experience with PySpark or Apache Spark as well as common machine learning frameworks You have solid knowledge of machine learning fundamentals and initial experience with LLM APIs You work independently and contribute your own ideas You have a good understanding of regular expressions



Final internship period will be agreed upon with the department.
Additional information


This position is available at


AUDI AG
in


Ingolstadt
.


We anchor sustainability in our business activities, products and services. We live excitement, trust, courage and responsibility, actively encourage inclusion and create an environment that fosters each employee's individuality in the interests of the company.


Reference code:


I-P-110217
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