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?
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 language models to a high-performance level.
Working closely with software teams, you will deploy and integrate GenAI and LLM-based models into existing software systems and cloud architectures, develop APIs and services, and optimize solutions in terms of performance and scalability.
The design of our GenAI platform is in your hands: You build ML and CI/CD pipelines, maintain versioning and monitoring, and thus ensure the reliability and scalability of our AI infrastructure.
With technical foresight, you evaluate new technologies and frameworks in the field of AI and MLOps and actively contribute your findings to collaborative work with data scientists, development teams and project managers.
A completed degree in computer science, artificial intelligence, or a related field forms your professional basis, or you can convince us with a comparable qualification and the potential to grow in this dynamic environment.
You have already gained relevant professional experience in the field of software engineering, machine learning or cloud engineering with an AI focus, complemented by sound programming skills in Python as well as routine handling of Git, FastAPI, CI/CD processes and code reviews.
You are at home in the field of machine learning and learning management (MLM): From data preparation and feature engineering to training, evaluation, and MLOps, you bring proven expertise with frameworks like PyTorch or TensorFlow. Your motivation to delve deeper into tools like MLflow, Docker, Kubernetes, or Terraform sets you apart.
Experience with cloud environments, ideally Azure, as well as basic knowledge of database systems, SQL, Spark and data governance round out your technical profile.
Fluent German and English skills enable you to communicate effectively in international teams. A passion for innovation, a broad technical understanding, and a strong hands-on mentality drive you to explore new paths with us.
A respectful work environment in a family business where diversity and equal opportunities are highly valued.
Innovative working environment with state-of-the-art equipment and the latest technology that promotes efficiency and creativity
Professional development opportunities: We fill 80% of our management positions internally.
A diverse range of training and development opportunities designed to advance your career
Freshly prepared, healthy meals daily at discounted prices, which you can either enjoy in our company restaurant or conveniently take with you.
Please submit your online application to Lena Riexinger. For any questions, you can reach us at lena.riexinger@trumpf.com. All of our advertised positions are currently open. Please note that for data protection reasons, we cannot accept applications via email. You can find all frequently asked questions about applying to our company on our careers page.
The TRUMPF Group is a German family-owned company with its head office in Ditzingen near Stuttgart. TRUMPF is one of the world's biggest providers of machine tools. With more than 70 operative subsidiaries, the TRUMPF Group is represented in all important markets worldwide. Its production facilities are based in China, Germany, France, the UK, Italy, Japan, Mexico, Austria, Poland, Switzerland, the Czech Republic and the USA.