Valeo

Technical - AI & LLM Automation

In short

Working Student / trainee role at Valeo, a global automotive supplier, focused on applying Large Language Models and AI-driven analytics to automate internal processes such as spending analysis, system test automation, and simulation generation. The company is a large R&D-heavy automotive supplier with over 20,000 engineers and 100,000+ employees across 31 countries. Candidates must be currently enrolled in a Bachelor's or Master's program in a technical field, know LLMs/prompt engineering and Python (Pandas, NumPy, LangChain/LlamaIndex), and speak English or German. It's a part-time, 1-year contract with remote/home-office flexibility, based near Prague.

About Valeo
Valeo is a tech global company, designing breakthrough solutions to reinvent mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
We are looking for a motivated and tech-savvy Working Student to join our team and help us push the boundaries of AI integration in our internal processes. You will play a key role in leveraging Large Language Models (LLMs) and AI-driven analytics to automate complex systems and generate actionable insights. This is a hands-on role where your contributions will directly impact our operational efficiency and technical roadmap.
Your Challenges
AI-Driven Spending Analysis
•Develop and refine AI models to analyze expenditure patterns.
•Transform raw financial data into structured insights to optimize budget allocation.
System Test Automation (Sys.5)
•Implement LLM-based solutions to automate the sys.5 system testing phase.
•Design prompts and workflows to identify edge cases and ensure robust system performance.
LLM-Powered Simulation Generation
•Create and manage synthetic data or environment simulations using LLMs.
•Develop scripts to generate complex simulation scenarios that aid in product development and testing.
Tasks
•One of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
•A multi-cultural environment that values diversity and international collaboration, more than 100,000 colleagues in 31 countries, which make a lot of opportunity for career growth
•A business highly committed to limiting the environmental impact of its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
•More information on Valeo: https://www.valeo.com
Requirements
Academic Background: Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
Technical Skills:
•Solid understanding of Large Language Models (LLMs) and Prompt Engineering.
•Proficiency in Python (specifically libraries like Pandas, NumPy, or frameworks like LangChain/LlamaIndex).
•Experience with data analysis and visualization.
Mindset: You are a problem-solver who enjoys working at the intersection of "traditional" systems and cutting-edge AI.
Languages: English/German
Conditions
•1 year part-time contract, Paid Vacation entitlement for DPČ
•Flexible working hours and home office possibility
•Meal vouchers and leisure contribution
•Possibility of Multisport card
•Fitness room and external sports ground (football, basketball, volleyball) on site
•Company canteen offering a selection of international cuisine
•Easy access to work by Prague metro line A, car parking for all employees
•Personal development program through technical trainings and language courses
•Regular company team building events
•Outdoor relax zone with a barbecue space for team building
•Possibility to see the whole development process in one place from an idea (customer requirement) to a product testing and manufacturing
Job: R&D Trainee/Apprentice/VIE
Organization: Site R&D
Schedule: Part time
Employee Status: Trainee (Fixed Term)
Job Type: Employment agreement (DPC) of non own employees

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