Senior AI Engineer - Knowledge Graphs
Tasks
- Build graph based retrieval and exploration systems
- Deploy and deliver trained models
- Design generative AI applications for financial and legal workflows
- Design ontology models
- Design similarity and precedent discovery systems
- Ensure reproducible research
- Extract structured data from unstructured documents
- Lead end to end model development lifecycle
- Model entities relationships and events in knowledge graphs
- Operate graph pipelines and entity stores
- Perform entity resolution and disambiguation
- Serve knowledge graph data with low latency
- Train and evaluate graph machine learning models
Perks/Benefits
- Enhanced parental leave
- Flexible working
- Group life assurance
- Hybrid working
- Income protection
- Paid sabbatical
- Paid sick leave
- Private medical insurance
- Professional development budget
Skills/Tech-stack
AWS | Clustering | Community Detection | Entity Disambiguation | Entity Resolution | Entity Stores | Generative AI | Graph Embeddings | Graph Machine Learning | Graph Search | Graph retrieval | Information Extraction | Knowledge graphs | Language Processing | Link prediction | Low Latency | Low-Latency Systems | Machine Learning | Natural Language | Natural Language Processing | Node Similarity | Ontology Modeling | Python | Record Linkage
Education
N/A
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