1 month ago
Munich, GermanyEntry Level
Responsibilities
- Explore complex tabular data and support data-centric AI development practices.
- Train, fine-tune, optimize, deploy, test, and monitor machine learning models and AI agents.
- Work with data scientists, data engineers, MLOps engineers, and AI engineers throughout the development lifecycle.
- Communicate with stakeholders to understand business processes and model input data.
- Support a high-visibility AI project and work with SAP BTP and hyperscaler cloud offerings.
Requirements
- Bachelor’s degree in Data Science or a related field.
- Proficiency in Python and at least one additional programming or scripting language.
- Experience with one or more machine learning frameworks or agentic AI frameworks.
- Good understanding of statistical methods and model quality assessment.
- Strong written and oral communication skills in English.
- General interest in applying machine learning or agentic AI to business problems.
- Experience working with complex tabular data.
- Preferred qualifications include experience with model explainability and interpretability, deep learning architectures, large-scale data analysis with Spark, CI/CD frameworks, and MLOps tools.
Benefits
- Paid working student position with opportunities to develop a career at SAP.
- Regular work from either the Walldorf or Munich SAP office is required.
- SAP offers flexible working models and a culture focused on inclusion, health, well-being, creativity, and continuous learning.
Tech Stack
Categories
About SAP
SAP builds enterprise application software and cloud services for finance, procurement, supply chain, human resources, and analytics, sold through subscriptions, licenses, and support. Its portfolio includes SAP S/4HANA, SAP Business Technology Platform, SAP Ariba, and SAP SuccessFactors. Founded in 1972 and headquartered in Walldorf, Germany, SAP is a public company listed on the NYSE and Frankfurt (ETR) and serves enterprises and public-sector organizations worldwide.