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Senior Researcher - Knowledge Graphs and Generative AI(m/w/x)
Description
In this role, you will be at the forefront of integrating knowledge graphs with large language models, driving innovative research and contributing to publications that shape the future of Business AI. Your work will involve collaboration with teams and staying informed on the latest advancements in the field.
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Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •PhD or Master’s degree in Computer Science, Artificial Intelligence, physics, mathematics, or relevant disciplines
- •Extensive experience with Knowledge Graphs and large language models
- •Proven experience and understanding of collaboration between industrial and academic research
- •Academic background in LLMs, Foundation Models, or Knowledge Graphs with related publications
- •Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
- •Professional experience with knowledge graphs and large language models in ERP domain
- •Proven history of leading projects with strategic mindset and organizational abilities
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Contribute to the integration of knowledge graphs and large language models
- •Provide hands-on support for agentic workflows
- •Develop relevant problem statements and frameworks for Business AI research
- •Supply data sets to enable academic research
- •Stay updated on the latest research findings and compare them with internal projects
- •Translate project innovations into research publications
- •Contribute to thought leadership in large language models and generative AI
- •Collaborate with the knowledge graph team to align initiatives with best practices
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
Other Benefits
- •Great benefits
Flexible Working
- •Flexible working models
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Senior Researcher - Knowledge Graphs and Generative AI(m/w/x)
The AI Job Search Engine
Description
In this role, you will be at the forefront of integrating knowledge graphs with large language models, driving innovative research and contributing to publications that shape the future of Business AI. Your work will involve collaboration with teams and staying informed on the latest advancements in the field.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •PhD or Master’s degree in Computer Science, Artificial Intelligence, physics, mathematics, or relevant disciplines
- •Extensive experience with Knowledge Graphs and large language models
- •Proven experience and understanding of collaboration between industrial and academic research
- •Academic background in LLMs, Foundation Models, or Knowledge Graphs with related publications
- •Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
- •Professional experience with knowledge graphs and large language models in ERP domain
- •Proven history of leading projects with strategic mindset and organizational abilities
Education
Work Experience
approx. 4 - 6 years
Tasks
- •Contribute to the integration of knowledge graphs and large language models
- •Provide hands-on support for agentic workflows
- •Develop relevant problem statements and frameworks for Business AI research
- •Supply data sets to enable academic research
- •Stay updated on the latest research findings and compare them with internal projects
- •Translate project innovations into research publications
- •Contribute to thought leadership in large language models and generative AI
- •Collaborate with the knowledge graph team to align initiatives with best practices
Tools & Technologies
Languages
English – Business Fluent
Benefits
Learning & Development
- •Constant learning
- •Skill growth
Other Benefits
- •Great benefits
Flexible Working
- •Flexible working models
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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