PANTOPIX
Knowledge Engineer(m/w/x)
Full-time/Part-timeWith HomeofficeExperienced
Lindau (Bodensee), München
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SASAP
(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
Garching bei München, München, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Integration of RDF stacks and Neo4j into LLM frameworks to mitigate hallucinations at global software provider. Minimum 5 years of semantic modeling and knowledge graph construction experience required. Flexible hybrid work model with 30 days vacation.
Requirements
- PhD, Master’s degree in relevant disciplines
- 5+ years experience in Knowledge Graphs
- Experience in semantic or knowledge modeling
- Proficiency in RDF stack or neo4j
- Experience mapping operations into data models
- Knowledge of Enterprise Knowledge Graph architecture
- Knowledge of KG research and trends
- Knowledge in AI and data science
- Experience in Data Engineering
- Fluency in Python and coding ability
- Ability to advise diverse stakeholders
- SAP Application developer experience (plus)
- Strong communication and collaboration skills
- Experience in research environment (plus)
Tasks
- Develop Knowledge Graphs as explicit knowledge sources
- Integrate Knowledge Graphs into Generative AI applications
- Address hallucinations using Knowledge Graph integration
- Support insight generation applications through data integration
- Design and manage large-scale Knowledge Graph construction
- Utilize structured and unstructured business data
- Collaborate with engineering teams and stakeholders
- Partner with domain specialists on modeling requirements
- Coordinate with data owners for Knowledge Graph provisioning
- Select and implement underlying technologies
- Make critical design decisions for technical implementations
- Contribute thought leadership to Generative AI and Knowledge Graphs
- Present Knowledge Graph benefits for business use cases
- Propose new business cases to relevant stakeholders
- Conduct applied research on strategic, long-term topics
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- RDF
- OWL
- SHACL
- SPARQL
- neo4j
- triple stores
- Generative AI
- Large Language Models
- Python
- SAP Application
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SASAP
(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
Garching bei München, München, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Integration of RDF stacks and Neo4j into LLM frameworks to mitigate hallucinations at global software provider. Minimum 5 years of semantic modeling and knowledge graph construction experience required. Flexible hybrid work model with 30 days vacation.
Requirements
- PhD, Master’s degree in relevant disciplines
- 5+ years experience in Knowledge Graphs
- Experience in semantic or knowledge modeling
- Proficiency in RDF stack or neo4j
- Experience mapping operations into data models
- Knowledge of Enterprise Knowledge Graph architecture
- Knowledge of KG research and trends
- Knowledge in AI and data science
- Experience in Data Engineering
- Fluency in Python and coding ability
- Ability to advise diverse stakeholders
- SAP Application developer experience (plus)
- Strong communication and collaboration skills
- Experience in research environment (plus)
Tasks
- Develop Knowledge Graphs as explicit knowledge sources
- Integrate Knowledge Graphs into Generative AI applications
- Address hallucinations using Knowledge Graph integration
- Support insight generation applications through data integration
- Design and manage large-scale Knowledge Graph construction
- Utilize structured and unstructured business data
- Collaborate with engineering teams and stakeholders
- Partner with domain specialists on modeling requirements
- Coordinate with data owners for Knowledge Graph provisioning
- Select and implement underlying technologies
- Make critical design decisions for technical implementations
- Contribute thought leadership to Generative AI and Knowledge Graphs
- Present Knowledge Graph benefits for business use cases
- Propose new business cases to relevant stakeholders
- Conduct applied research on strategic, long-term topics
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- RDF
- OWL
- SHACL
- SPARQL
- neo4j
- triple stores
- Generative AI
- Large Language Models
- Python
- SAP Application
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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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