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(Senior) Researcher - Knowledge Graphs and Generative AI(m/w/x)
Conducting cutting-edge research in AI and graph technologies for enterprise applications, building agentic AI workflows. Extensive experience with Knowledge Graphs and LLMs, hands-on with RDF/Neo4j/PyG required. Flexible working models, publishing innovations for 400k+ enterprise customers.
Requirements
- PhD or Master’s degree in Computer Science, AI, physics, mathematics or relevant disciplines
- Extensive experience with Knowledge Graphs and large language models
- Experience in industrial and academic research collaboration
- Academic background in LLMs, Foundation Models, or Knowledge Graphs
- Hands-on experience with RDF, Neo4j, TypeDB, PyG or similar
- Proficiency in Python
- Experience in applying ML methods
- Ideally, experience with knowledge graphs and LLMs in ERP domain
- History of leading projects with strategic mindset and organizational abilities
Tasks
- Develop technical advances in knowledge graphs and LLMs
- Contribute hands-on to agentic AI workflows
- Provide research frameworks and business data sets
- Monitor and compare latest research with internal work
- Publish innovations and contribute to thought leadership
- Align project deliverables with community best practices
- Collaborate closely with the knowledge graph team
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Knowledge Graphs
- large language models
- graph embeddings
- LLMs
- Foundation Models
- RDF
- Neo4j
- TypeDB
- PyG
- Python
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
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(Senior) Researcher - Knowledge Graphs and Generative AI(m/w/x)
Conducting cutting-edge research in AI and graph technologies for enterprise applications, building agentic AI workflows. Extensive experience with Knowledge Graphs and LLMs, hands-on with RDF/Neo4j/PyG required. Flexible working models, publishing innovations for 400k+ enterprise customers.
Requirements
- PhD or Master’s degree in Computer Science, AI, physics, mathematics or relevant disciplines
- Extensive experience with Knowledge Graphs and large language models
- Experience in industrial and academic research collaboration
- Academic background in LLMs, Foundation Models, or Knowledge Graphs
- Hands-on experience with RDF, Neo4j, TypeDB, PyG or similar
- Proficiency in Python
- Experience in applying ML methods
- Ideally, experience with knowledge graphs and LLMs in ERP domain
- History of leading projects with strategic mindset and organizational abilities
Tasks
- Develop technical advances in knowledge graphs and LLMs
- Contribute hands-on to agentic AI workflows
- Provide research frameworks and business data sets
- Monitor and compare latest research with internal work
- Publish innovations and contribute to thought leadership
- Align project deliverables with community best practices
- Collaborate closely with the knowledge graph team
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Knowledge Graphs
- large language models
- graph embeddings
- LLMs
- Foundation Models
- RDF
- Neo4j
- TypeDB
- PyG
- Python
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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