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Mae'r hysbyseb swydd hon wedi dod i ben ac mae'r ceisiadau wedi cau.
AI Knowledge Graph Engineer
| Dyddiad hysbysebu: | 11 Rhagfyr 2024 |
|---|---|
| Cyflog: | £45,000 i £70,000 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 10 Ionawr 2025 |
| Lleoliad: | Birmingham, West Midlands |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | Devi Technologies |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: |
Crynodeb
Responsibilities:
Design, develop, and implement knowledge graph models to structure and interlink data.
Work with data scientists and engineers to integrate knowledge graphs into AI systems.
Optimize data structures for efficient querying and analytics.
Conduct research to improve graph algorithms and enhance AI capabilities.
Collaborate with stakeholders to ensure knowledge graph alignment with business objectives.
Requirements:
Strong experience in designing and implementing knowledge graphs and semantic technologies.
Proficiency in graph databases (e.g., Neo4j, Amazon Neptune) and querying languages like SPARQL.
Solid understanding of machine learning and AI frameworks (e.g., TensorFlow, PyTorch).
Experience with data modeling and data integration techniques.
Bachelor’s or Master’s in Computer Science, Data Science, or related field.
Design, develop, and implement knowledge graph models to structure and interlink data.
Work with data scientists and engineers to integrate knowledge graphs into AI systems.
Optimize data structures for efficient querying and analytics.
Conduct research to improve graph algorithms and enhance AI capabilities.
Collaborate with stakeholders to ensure knowledge graph alignment with business objectives.
Requirements:
Strong experience in designing and implementing knowledge graphs and semantic technologies.
Proficiency in graph databases (e.g., Neo4j, Amazon Neptune) and querying languages like SPARQL.
Solid understanding of machine learning and AI frameworks (e.g., TensorFlow, PyTorch).
Experience with data modeling and data integration techniques.
Bachelor’s or Master’s in Computer Science, Data Science, or related field.