Machine learning understanding: Solid ML understanding, experience interpreting experiments and exposure to development. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. 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. Constant learning, skill growth, great benefits, and a team that wants
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