3 jobs found in Frankfurt am Main

Job Title: Director (m/f/d) of AI Data Strategy & Architecture Req ID: 48545 Job Location (Short): Alcobendas, ESP | Guntramsdorf, AUT | Ljubljana, SVN | Nordborg, DNK | Offenbach Am Main, GER Employment Type: Full Time Segment: Danfoss Power Electronics and Drives Segment Job Category: Business Strategy & Corporate Development Work Location Type: Hybrid The Impact You'll Make As   Director (m/f/d) of AI Data Strategy & Architecture   , you will play a key role in shaping how Danfoss uses data to drive digitalization and innovation across our business. You will help us build the data foundations that power trusted Analytics and AI solutions - enabling smarter decisions, stronger performance, and better experiences for colleagues and customers. You will be the connector between business priorities, data engineering practices, and the operational...

Olin is a global chemical company and a leading producer of chlor-alkali products, epoxy resins and chlorinated hydrocarbons. Founded in North America in 1892, Olin today employs more than 7,800 people in more than 15 countries. Our products are the basis for a wide range of applications in everyday life, from semiconductor electronics to automotive coatings and wind turbines. We are committed to fostering a workplace where every employee is treated with dignity, fairness, and respect, empowered to contribute with their unique perspectives. We act with integrity every day and operate responsibly and sustainably. We are always looking for talented people to join our team. In return, we offer exciting tasks, attractive compensation plans, and we provide excellent social benefits. Apply today to join our team as... Product Marketing Specialist EMEAI (m/w/d) (for Allylics, Aromatics and Resins) at our location in   Schwalbach am Taunus   (permanent and...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work at the intersection of compilers, hardware, and performance. Your work will help us build intelligent systems that understand complex program behavior and improve how software runs on modern processors. You will apply machine learning to structured program representations, compiler transformations, and real-world performance measurements. What you will be doing...