We know that our business thrives only when our people thrive and unlock their full potential. That’s why you are always our top priority. Our global, diverse team is ready to support, challenge, and inspire you, helping you grow in countless ways. Together, we’ll embark on an exciting journey of discovery. Who knows where this path will lead? Join us and take an active role in shaping your future What we offer you 2 to 3 days of mobile working per week as a global standard Attractive remuneration package Development opportunities for both personal and professional growth 30 leave days and a variety of flexible working models that allow time off for yourself and your family. Share matching programs to become a shareholder of Siemens AG Since each of over 300,000 employees feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here. The individual benefits are subject to regulatory, contractual, or corporate conditions. How you’ll make a difference Collaborate within an international team of data scientists and machine learning engineers with diverse backgrounds, utilizing AI methods to accelerate Siemens internal and external digitalization Design and implement enterprise-scale MLOps architectures for Siemens' global AI initiatives Lead the development of production-grade ML systems with a focus on scalability, maintainability, and reliability Architect and build reusable AI services that serve as foundation for multiple internal and external business applications and products Develop large-scale (multi-)agent frameworks and integrate them into existing AI platforms (e.g., SiemensGPT & Siemens Data Cloud) Drive the technical strategy for Generative AI implementations, including LLMOps pipelines and infrastructure Support large-scale projects such as SiemensGPT, Xcelerator, Industrial Copilot and other strategic GenAI initiatives Collaborate with cross-functional teams and our internal customers to translate business requirements into scalable technical solutions Guide projects from conception through production deployment, ensuring engineering best practices This is how you'll win us over Education Advanced degree in Computer Science, Software Engineering, Data Science, Mathematics, Physics, or related technical field Experience & Skills 5 years of hands-on experience building production ML systems at scale Deep expertise in MLOps practices, including CI/CD pipelines for ML models, model serving architectures, model monitoring and observability Strong software engineering background with expertise in API development and scalable re-usable architectures Proven experience with cloud-native ML development (Azure/AWS) Strong C# and Python proficiency plus other programming languages, such as SQL, Java, JavaScript, Angular or React Additional Qualifications Demonstrated experience with LLM deployment and optimization Track record of building scalable NLP solutions in production Expertise in version control systems (Git) and GitLab CI/CD Strong system design and software architecture skills Experience with Infrastructure-as-code tools (especially Terraform) Languages Fluency in German and English is required You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. About us www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens. FAQ – if you need further information on the application process.