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(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- RDF
- OWL
- SHACL
- SPARQL
- neo4j
- triple stores
- Generative AI
- Large Language Models
- Python
- SAP Application
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Noch nicht perfekt?
- PANTOPIXVollzeit/Teilzeitmit HomeofficeBerufserfahrenLindau (Bodensee), München
- Digetiers GmbH
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(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- RDF
- OWL
- SHACL
- SPARQL
- neo4j
- triple stores
- Generative AI
- Large Language Models
- Python
- SAP Application
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Noch nicht perfekt?
- PANTOPIX
Knowledge Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenLindau (Bodensee), München - Digetiers GmbH
Knowledge Engineer / Ontologist(m/w/x)
VollzeitRemoteBerufserfahrenHamburg, München, Stuttgart - Capgemini
Senior GenAI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen - SAP
AI Data Lead - SAP-RPT Model Family(m/w/x)
Vollzeitmit HomeofficeSeniorGarching bei München - Capgemini
Senior GenAI Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen