Working Student Process Automation & Agent Models (m/f/d/x) in Stuttgart, Deutschland
StepStone
Stuttgart, Deutschland
Bewirb dich jetzt auf die Stetelle Working Student Process Automation & Agent Models (m/f/d/x) in.
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.
Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence. Job-ID: V000079814 Original Stellenanzeige auf https://jobeax.com/link/iyzfR6WMDhQEXDak https://jobeax.com/link/uZ234MSplsDs1K12
Bewirb dich jetzt auf die Stetelle Industrial Engineering - Working Student inHamburg. Nexperia is a world-class company in semiconductor development and in-house production. A proven global player with an entrepreneurial mentality. At our core is an 12,000+ strong international network with a singular focus. Built on passion ...
We are looking for a Working Student, Editorial - App to join our team in Berlin . This role aims to craft a variety of engaging, conversational, and on-brand fashion news for Highsnobiety’s App, which requires diligence, a good eye, and a thorough understanding of the Zeitgeist. The App Working Student will be completely ...
To strengthen our European headquarter in Frankfurt am Main, we are currently looking for a Working Student - Validation Engineer Infotainment (m/f/d) Published since: 13.10.2026 This is a fixed term contract for 6 Months About us To further strengthen our position among the leading companies in the automotive industry, ...
... systems. You will work closely with the Corning Precision Connectivity engineering team and contribute to projects across different stages of the development process. This position is a great opportunity for students who want to gain hands-on experience in mechanical design and product development while working in a collaborative ...
... manual planning to manage this complexity. We approach this differently. Our technology combines reinforcement learning with Digital Twin environments to train AI agents in simulation, allowing manufacturers to create and optimize production schedules without relying on large historical datasets. We're already working with manufacturers ...