Stadler: Machine Learning Engineer

Stadler offers a wide range of international career opportunities. Join us to grow beyond yourself and make an impact!

Tasks

• Design, build, and maintain impactful machine learning solutions.
• Collaborate on NLP and computer vision to enhance tools and processes.
• Write production-quality code integrating ML components into systems., * Design, build, and maintain machine learning solutions with clear business impact
• Work with NLP and computer vision to enhance internal tools and processes
• Write production-quality code, including integration of ML components into larger software systems
• Collaborate with internal stakeholders to understand needs and deliver practical solutions
• Contribute to defining the technical direction of a new AI team

• Strong Python and PyTorch skills; understanding of Git and Docker.

• Deep knowledge of ML fundamentals, especially NLP and CV.

• Excellent problem-solving skills and a curious, value-driven mindset., Motivated Machine Learning Engineer role at Stadler Signalling. Contribute to building ML-powered tools from the ground up, focusing on NLP (including LLMs), computer vision, and software engineering. Responsibilities include developing production-ready systems, integrating ML components, writing clear documentation, and supporting cross-team adoption. Opportunity to shape a fast-growing initiative with real impact. Your Profile

• Strong Python and PyTorch skills; additional languages and ML frameworks are a plus

• Solid knowledge of Git, Docker, and source control

• Deep understanding of ML fundamentals, especially NLP and CV

• Independent, adaptable, and proactive in dynamic environments

• Excellent problem-solving, curiosity, and value-driven mindset

• Fluent in English; German is an advantage