4 data warehouse jobs found in Stuttgart

As a family-run, high-tech company with nearly 19,000 employees at 71 locations worldwide, we are looking for forward thinkers with unconventional ideas and drive to join our team. Our company culture, which values ​​collaboration and mutual trust, creates the ideal framework for boldly trying new things and questioning the status quo. Our technologies inspire people to develop and produce things that are currently unimaginable. Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for future generations. Are you ready for new challenges? Your new task As part of our AI Hub, you will work with specialist departments to design concrete AI use cases and take responsibility for developing and operating models and systems from idea to production-ready solution. Through targeted selection, training, and feature and prompt engineering, you can bring AI models from the fields of machine learning, computer vision, and large...

Tasks As a part of your Master thesis, you will develop a physics-informed current controller for grid-tied inverter control. You will evaluate the linear regulator and the predictive controller as reference points, as well as establish their boundaries. In addition, you will research current AI-based implementations in the literature. Furthermore, you will be responsible for developing a concept to improve the implementation of AI-based black boxes and mitigate their drawbacks in grid-tied inverter applications. Last but not least, you will select an AI-based concept, which may include machine learning, recurrent neural networks or reinforcement learning. If necessary, you will model the system alongside the implemented controller. profile Education:   Master studies in the field of Engineering, Mathematics, Information Technology or comparable Experience and Knowledge:   in the application of AI methods, system modeling and...

Tasks As part of your Master thesis, you will build an Agentic AI system within the Robert Bosch IT infrastructure. You will connect this system to the Semiconductor Database (DB) and its DB description, as well as train the agent using it. In addition, you will research how effectively the agent can translate natural language intent into deterministic database operations. Furthermore, you will investigate the efficiency and accuracy of Agentic's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows. Last but not least, you will learn how the agent tests hypotheses against historical data by simulating interventions (eg in manufacturing processes), in order to make robust, data-driven decisions. profile Education:   Master studies in the field of Computer Science, Mathematics, Physics or comparable Experience and Knowledge:   of Python, Machine Learning, Agentic AI, SQL, Git and MCP;...

Tasks Are you eager to connect physical insights with advanced AI? We are offering an exciting master's thesis opportunity to work on physically informed machine learning for system identification and performance modeling of MEMS gyroscopes. During your assignment, you will construct machine learning (ML) algorithms for system identification and performance prediction of MEMS gyroscopes. You will examine MEMS gyroscope data through detailed analysis. Furthermore, you will assess physically informed ML in comparison to other architectures. Furthermore, you will acquire a deep physical understanding of MEMS gyroscopes to optimize your models. Finally, you will work with real-world sensor data to validate your findings. profile Education:   Master studies in the field of   Informatics, Physics, Engineering or comparable with good grades Experience and Knowledge:   in data driven parameter identification; knowledge of Python,...