Together with our customers, we combine the real and digital worlds.

Siemens is a leading technology company (employing around 6,000 people in Switzerland / 320,000 globally). We provide pioneering solutions for the building technology, energy, mobility, healthcare, and industry sectors.

As a student trainee, intern or trainee, you are an important part of #TeamSiemens.

In this role, as a Working Student in AI Research & Implementation, you will support our AI team in researching, developing, and implementing AI use cases. This ranges from defining the initial problem scope, searching for suitable approaches to solve the identified problem, developing proof-of-concepts (POC), and transforming a successful POC into a production-ready solution. As such, this role provides hands-on experience in the AI field, allowing you to develop technical skills, gain research experience, and contribute to impactful projects.

Your new responsibilities

Implementation Support:

• Assist in developing and prototyping AI solutions using machine learning and data processing frameworks
• Collaborate with the AI engineering team to develop, test and fine-tune models
• Support in deploying AI models and integrating them into existing systems via interfaces

Research and Analysis:

• Conduct thorough research on current trends, emerging technologies, and best practices in AI
• Identify and analyze potential use cases where AI can add value to various business processes in different domains
• Prepare detailed reports and presentations summarizing findings in a clear and professional manner

Interpretation and Communication:

• Interpret model results, potential drawbacks, and limitations considering the underlying business process
• Clearly communicate complex AI concepts, advantages and disadvantages of certain approaches to both technical and non-technical stakeholders
• Contribute to presentations and other materials that showcase our AI initiatives

Learning and Development:

• Participate in team meetings, workshops, and training sessions
• Serve as a "knowledge hub" for technical and non-technical AI questions from other teams

Your talents and experience:

• Currently enrolled in a Bachelor's or Master's Programin Computer Science, Data Science, Artificial Intelligence, or a related field at a Swiss university
• Proficiency in Data manipulation and Analysis(using libraries like pandas, NumPy)
• Ability to independently conduct detailed research on AI topics, analyze data, and summarize key insights
• Understanding of AI concepts, machine learning algorithms, and data processing techniques
• Problem-solving mindset, ability to manage time effectively and prioritize tasks
• Experience with Python and ML libraries(such as TensorFlow, PyTorch, or scikit-learn) is preferred
• Experience with cloud platforms such as AWS or Azure, is a nice to have
• Fluency in English, German is a plus

Employee benefits

• Mobile working from anywhere within Switzerland
• Opportunity to develop an international professional network
• Gain experience at one of the largest tech employers in Switzerland
• Membership in the Siemens Students Association comprising 200 members

What it's like working for us
We place significant emphasis on fostering an inclusive and flexible working culture that encourages everyone to be their authentic selves. Equal opportunities and diversity are important to us and contribute to an enriching corporate culture. We actively embrace mobile working to provide every colleague with more autonomy and the chance to achieve a good work-life balance. Learn more here

Frequently asked questions and contact information
Here you will find a collection of frequently asked questions and a way to contact us directly.

I look forward to receiving your application.

Marie
Talent Acquisition Partner

Information for recruitment agencies: Siemens is not accepting applications from recruitment agencies for this position. Thank you for your understanding.