Schaeffler Technologies AG & Co. KG | Germany | Practical training | Full time | Published since: 19.05.2025 on stepstone.de
Thesis on Generative AI and Data Management in Factory Planning (m/w/d)
Schaeffler - this is the fascination of an international technology group linked to the culture of a family business. As a partner of all major automotive manufacturers and numerous industrial customers, we offer you plenty of space for your personal development.
The basic prerequisite for the preparation of a final work is the proof of enrollment. This place must be occupied from now on. JOBV1_EN
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Your tasks • Your profile • What we offer
Schaeffler - this is the fascination of an international technology group linked to the culture of a family business. As a partner of all major automotive manufacturers and numerous industrial customers, we offer you plenty of space for your personal development.
The basic prerequisite for the preparation of a final work is the proof of enrollment. This place must be occupied from now on.
Working with the specification of the necessary data for the GenAI-driven solution, including identification of relevant data sources and development of concepts for data collection and data processing Ensuring data quality and handling of sensitive business data Support in the design and development of a machine learning and data flow pipeline to support fine tuning and the operational application of GenAI models With the help of creating specific GenAI interpreters for integration into the toolchain of factory planning, to translate input data and to transform output data into executable actions Support in the formalisation of a holistic concept including system architecture and specification of system components and their interactions Evaluation and presentation of the best solutions for GenAI-controlled factory planning to stakeholders
Studies in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering or a comparable degree programme First experiences in handling machine learning and data flow pipelines Knowledge in data management and data processing, in particular quality control and handling of sensitive data Knowledge of Nvidia Omniverse or similar applications in the context of Industrial Metaverse Experience in production and factory planning as well as interest in innovative technologies Very good programming knowledge in Python or similar programming language Good knowledge of German and English in word and writing Self-employed and structured working methods and high self-initiative and enthusiasm for developments in the field of GenAI
Attractive remuneration and flexible working hours Variety of further development on the Schaeffler Academy Health and sports, e.g. through the Schaeffler Health Coach App Opportunities for networking in an international environment through a variety of networking options (e.g. student master table and student binding program) Valuable working atmosphere A certified restaurant Many other employee benefits, including corporate benefits JOBV1_EN
Company location
Location
![]() | Schaeffler Technologies AG & Co. KG | |
Industriestraße 9, 91710 Gunzenhausen am Altmühlsee | ||
Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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