Skills used in this role: Model training, deep learning, feature engineering, ethical AI, data engineering, agentic orchestration, semantic retrieval, AI-assisted development, context engineering, AI output quality assurance, agentic AI day-to-day practice, AI-Assisted Automation and Prototyping, AI Adoption Capability. * Data exploration and validation: Stay close to the data through targeted hands-on exploration and validation, building a firsthand understanding of its characteristics, quality and suitability for model development. Relational enterprise data: Strong understanding of relational data, schemas, business entities and data quality challenges in enterprise environments. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company,
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