1 month ago
Walldorf, GermanyEntry Level
Responsibilities
- Explore data and work with complex tabular datasets.
- Train, fine-tune, optimize, deploy, test, and monitor machine learning models and AI agents.
- Support high-visibility AI projects alongside experienced data scientists and AI developers.
- Communicate with stakeholders to understand business processes and model input data.
- Apply data-centric AI development practices.
- 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 other 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 oral and written English communication skills.
- General interest in applying machine learning or agentic AI to business problems.
- Experience working with complex tabular data.
- Preferred: experience with machine learning model explainability and interpretability.
- Preferred: experience with deep learning architectures.
- Preferred: knowledge of large-scale data analysis with Spark.
- Preferred: experience with CI/CD frameworks and MLOps tools.
Benefits
- Paid working student position.
- Regular work from either the SAP Walldorf or Munich office is required.
- Opportunity to work with SAP’s Enterprise AI Center of Excellence and experienced data scientists and AI developers.
- Access to flexible working models, a culture of inclusion, health and well-being support, 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.