Job Description

Summary:

At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI.  Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.
Meet your team:

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally

The Role:

Unique opportunity to contribute to the development of a Foundation Model on structured business data using Knowledge Graphs in a diverse business context.
Design, develop and manage the construction of large-scale knowledge graphs using structured business data.
Lead the integration of knowledge graphs into the foundation model, enabling more efficient and accurate data interpretation.
Collaborate closely with AI/ML teams to understand their data requirements and ensure the delivery of high-quality data
Make critical design decisions regarding the selection and implementation of underlying technologies.
Extract, clean, and analyze data from various sources to ensure quality and accuracy
Contribute to thought leadership in an entirely 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.
Deep background in Data Engineering, Knowledge Graphs, and their application in a business context. Background in Machine Learning is a plus.
Proficiency in Python.
Advanced knowledge of data modeling, schema design, and related technologies
Proven expertise in designing and implementing data extraction and structuring strategies for complex business data.
Ideally, professional experience with Machine Learning on structured data such as in the ERP or CRM domain.
5+ years of professional experience. Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.

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