1 month ago
Remote, GermanyEntry Level
Responsibilities
- Work with data scientists, data engineers, MLOps engineers, and AI engineers on machine learning models and AI agents.
- Perform data exploration, model training, fine-tuning, optimization, deployment, testing, and monitoring.
- Communicate with stakeholders to understand business processes and model input data.
- Support a high-visibility AI project alongside experienced data scientists and AI developers.
- Apply data-centric AI development practices using 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.
- Understanding of statistical methods and model quality assessment.
- Strong written and oral communication skills in English.
- General interest in applied machine learning or agentic AI for solving business problems.
- Experience working with complex tabular data.
- Preferred: experience with model explainability and interpretability, deep learning architectures, large-scale data analysis with Spark, CI/CD frameworks, or 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.
- Flexible working models and a culture focused on inclusion, health, well-being, trust, creativity, and continuous learning.
- Accessibility accommodations are available for applicants with disabilities.
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.