SAP Working Student f/m/d - AI/ML Specialist 

Germany, Baden-Württemberg 

559252049

Your responsibilities include:

• Driving innovation with SAP Business AI: Understand, explore, and implement SAP Business AI capabilities across the SAP CX product portfolio to build impactful and engaging demos.
• Building real-world use cases: Develop practical CX extensions using the SAP BTP Generative AI Hub, showcasing AI-powered solutions that solve customer challenges.
• Transforming unstructured data: Use AI to convert unstructured data—such as PDFs or presentations—into structured content for seamless integration into demo environments.
• Optimizing predictive models: Generate and refine synthetic data to improve AI predictive models in demo environments. This ensures presales teams can highlight the full potential of AI-driven capabilities in SAP Sales and Service Cloud.

What you bring

You are a currently enrolled student at a university or a university of applied sciences with a focus on:

• Preferred Fields of Study: Economics, Business Administration, Marketing, Management, Communication, Design, Information Technology.
• Language: Fluent in English; proficiency in German is a plus.
• Technical Skills: Advanced knowledge of MS Office Suite (PowerPoint, Excel, Word). Proficiency in Photoshop and video editing tools, familiarity with Figma, and basic HTML coding are a plus but not required.
• Learning Ability: Willingness and ability to quickly learn and master new technologies.
• Creativity & Attention to Detail: Think creatively and ensure the quality and accuracy of the content produced.
• Strategic Thinking & Communication: Ability to think strategically and contribute to innovative solutions; strong written and verbal communication skills.
• Collaboration: Communicate and collaborate effectively in virtual teams.
• Soft Skills: Enthusiastic, open-minded, result-oriented, communicative, self-driven, reliable, with a commitment to delivering high-quality work.
• Availability: At least two semesters, working part-time 16 to 20 hours per week.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.