AVL is the largest supplier of measurement devices for automotive OEMs worldwide. Our young but experienced team in Zagreb is part of electrification business in the automotive sector (battery cell testing & inverters). We design converters using cutting edge transistor technologies (SiC, GaN) and high-end measurement equipment.

Student Assistant for AI-Based Recommender Systems (f/m)

YOUR RESPONSIBILITIES:

•    Development of AI-based recommender systems for test beds
•    Participation in research projects involving LLMs, GAI, NLP, and Low-Code approaches
•    Development of frontend systems (e.g., chatbots, AR/VR solutions) and backend systems (AI-supported recommender systems)
•    Collaboration with development teams and engaging in continuous learning and improvement of product know-how
•    Information research and design

YOUR PROFILE:

•    Ongoing studies in computer science (university/technical college) or an equivalent field of study, preferably with a completed bachelor's degree
•    Very good knowledge of at least two programming languages (preferably Java, C#, Python, or C++)
•    Good knowledge of software engineering and modeling methodologies
•    Preferably good knowledge in the field of artificial intelligence (AI, especially LLM/GAI) in practice and/or through relevant coursework in AI/ML and recommender systems
•    Optional: Knowledge of the Eclipse Modeling Framework (EMF) and DSLs (Xtext, Xtend)
•    Optional: Completed courses in Human-Computer Interaction (HCI) and computer graphics, especially AR/VR/MR/XR topics
•    Strong communication skills and ability to work in a team
 

WE OFFER:

•    Professional development through mentorship and coaching
•    An international and dynamic environment
•    A very casual atmosphere that is simultaneously supportive, friendly and productive
•    Option to stay as full time employee once you graduate

Interested?
If so, please use our online application tool to send your application to AVL!
(Please upload your CV and Cover Letter in format Name_Surname_CV and Name_Surname_CoverLetter)