Die KI-Suchmaschine für Jobs
(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
Beschreibung
In this role, you will play a key part in developing Knowledge Graphs that enhance Generative AI applications, collaborating with experts to design large-scale solutions and drive innovative business insights. Your work will directly impact how AI technology is leveraged across various domains.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics, or relevant disciplines
- •5+ years of professional experience with Knowledge Graphs in a business context
- •Experience in semantic / knowledge modeling
- •Working proficiency in RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and property graphs-based solutions (e.g., neo4j)
- •Experience mapping business operations into clear data models and organized schemas
- •Experience with Enterprise Knowledge Graph implementations and architecture, knowledge of vendor ecosystem and open-source triple stores
- •Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models
- •Solid knowledge in Artificial Intelligence and data science, specifically graph-based approaches
- •Experience in Data Engineering with a hands-on approach to solving data challenges
- •Fluent in Python and ability to convert ideas into productive code
- •Ability to advise diverse stakeholders on applying an enterprise Knowledge Graph to business use cases
- •Developer experience with any SAP Application and its underlying data models is a plus
- •Strong communication and collaboration skills, ability to work effectively in cross-cultural teams
Ausbildung
Berufserfahrung
5 Jahre
Aufgaben
- •Contribute to the development of Knowledge Graphs across multiple SAP domains
- •Integrate Knowledge Graphs into Generative AI applications to mitigate hallucinations
- •Design and manage the construction of large-scale Knowledge Graphs using structured and unstructured business data
- •Collaborate with domain specialists and data owners to gather requirements for Knowledge Graph modeling
- •Make design decisions on the selection and implementation of underlying technologies
- •Provide thought leadership in the field of Generative AI combined with Knowledge Graphs
- •Present and explain the benefits of Knowledge Graphs for business use cases
- •Propose new use cases to relevant stakeholders
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Weiterbildungsangebote
- •Constant learning
- •Skill growth
Sonstige Vorteile
- •Great benefits
Flexibles Arbeiten
- •Flexible working models
- CapgeminiVollzeitmit HomeofficeSeniorBerlin, Nürnberg, Dortmund, Hamburg, Erfurt, Köln, Ratingen, Frankfurt am Main, Stuttgart, München
- PANTOPIX
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(Senior) Data / Knowledge Engineers: Knowledge Graphs and Generative AI(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this role, you will play a key part in developing Knowledge Graphs that enhance Generative AI applications, collaborating with experts to design large-scale solutions and drive innovative business insights. Your work will directly impact how AI technology is leveraged across various domains.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics, or relevant disciplines
- •5+ years of professional experience with Knowledge Graphs in a business context
- •Experience in semantic / knowledge modeling
- •Working proficiency in RDF Knowledge Graph technology stack (RDF, OWL, SHACL, SPARQL) and property graphs-based solutions (e.g., neo4j)
- •Experience mapping business operations into clear data models and organized schemas
- •Experience with Enterprise Knowledge Graph implementations and architecture, knowledge of vendor ecosystem and open-source triple stores
- •Knowledge of latest research and development trends in Knowledge Graphs, e.g. Generative AI and Large Language Models
- •Solid knowledge in Artificial Intelligence and data science, specifically graph-based approaches
- •Experience in Data Engineering with a hands-on approach to solving data challenges
- •Fluent in Python and ability to convert ideas into productive code
- •Ability to advise diverse stakeholders on applying an enterprise Knowledge Graph to business use cases
- •Developer experience with any SAP Application and its underlying data models is a plus
- •Strong communication and collaboration skills, ability to work effectively in cross-cultural teams
Ausbildung
Berufserfahrung
5 Jahre
Aufgaben
- •Contribute to the development of Knowledge Graphs across multiple SAP domains
- •Integrate Knowledge Graphs into Generative AI applications to mitigate hallucinations
- •Design and manage the construction of large-scale Knowledge Graphs using structured and unstructured business data
- •Collaborate with domain specialists and data owners to gather requirements for Knowledge Graph modeling
- •Make design decisions on the selection and implementation of underlying technologies
- •Provide thought leadership in the field of Generative AI combined with Knowledge Graphs
- •Present and explain the benefits of Knowledge Graphs for business use cases
- •Propose new use cases to relevant stakeholders
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Weiterbildungsangebote
- •Constant learning
- •Skill growth
Sonstige Vorteile
- •Great benefits
Flexibles Arbeiten
- •Flexible working models
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.
- Capgemini
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