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SAP Senior AI/ML Scientist - Generative AI Knowledge Graphs 
Germany, Baden-Württemberg 
311652796

05.09.2025

What you`ll do:

The Role:

  • Unique opportunity to lead the development of Business AI Scenarios on SAP business data embedded in a rich and diverse business context.

  • Ability to solve complex problems using LLMs + Knowledge Graphs with In-context learning and finetuning.

  • Strong Experience with data pre-processing, Information Retrieval, RAG and applying Agentic AI to improve Question Answering with multimodality.

  • Experience with the latest advancements in the field of LLMs, Foundational Models, and Machine Learning, and apply the expertise to enhance the models and improve product quality.

  • Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Models and LLMs.

  • Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Models/LLMs align with strategic company objectives of embedding AI into our product portfolio.

  • Establish and drive research collaborations with academic and commercial partners.

  • Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.

What you bring:

  • PhD or master’s degree in computer science, Artificial Intelligence, or other relevant disciplines.

  • 8+ years of relevant experience in Machine Learning and 3 years in LLMs.

  • Extensive experience with LLMs or Deep Learning as well as Machine Learning with Knowledge Graphs (e.g. GNNs).

  • Deep understanding of issues and opportunities of applying Generative AI in a business context.

  • Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.

  • Experience in one of the agentic frameworks like LangGraph, etc

  • Exceptional teamwork abilities, strong leadership and strategic thinking skills.

  • Substantial publication record related to LLMs, Foundation Models, or Knowledge Graphs.

We win with inclusion


Successful candidates might be required to undergo a background verification with an external vendor.


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