Mode of Employment: Limited, max. 20h/week

As a working student at Siemens, you have the opportunity to actively contribute in various areas and fully apply your skills.

 

You’ll create impact by

• As a working student in our team, you will collaborate with senior AI developers to design, develop, and deploy AI-powered solutions
• You will assist in data collection, preprocessing, and analysis to support model training and validation
• You will implement and optimize machine learning algorithms and models under guidance
• Furthermore, you will participate in code reviews, testing, and debugging to ensure the quality and reliability of AI applications
• You will stay updated on the latest advancements in AI research and technology to contribute innovative ideas to the team

 

This is how you'll win us over

• You are currently enrolled as a master’s student in Data Science, Computer Science, with an AI/ML focus or similar
• Proficiency in Python is required. Other languages like Java or C++ is a plus
• You have experience of working with large language models and related technologies (e.g. RAG, LangChain, Prompt Engineering, Vector Databases)
• Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn) complete your profil
• Ideally, you have strong understanding of fundamental concepts in artificial intelligence, machine learning, and deep learning
• You have good analytical and problem-solving skills with a keen attention to detail

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

 

Join our team and help shape the future of communication, energy efficiency, and mobility! We are looking for dedicated working students who can put theories into practice and think creatively.

Take the opportunity to contribute to our global network, make valuable connections, and lay the foundation for your professional and personal future.

We look forward to your talent!

 

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.  

If you have more questions please contact: www.siemens.de/fragenzurbewerbung

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