Senior Applied Scientist - Knowledge Graphs & AI
Tasks
- Build information extraction pipelines
- Build representation learning pipelines
- Conduct code review
- Deploy models and pipelines into production
- Design knowledge graph schemas
- Detect events
- Develop deal risk features
- Develop next best action models
- Evaluate model performance
- Extract entities and relations
- Implement Entity Resolution
- Implement contextual reasoning
- Monitor system health
- Optimize graph traversal queries
- Perform coreference resolution
- Populate ontologies
- Respond to incidents
- Train graph link prediction models
- Train node classification models
- Translate domain concepts into graph nodes and relationships
Perks/Benefits
Skills/Tech-stack
Coreference resolution | Cypher | Dialogue Systems | Entity Resolution | Event Detection | Graph Databases | Graph Embeddings | Graph Neural Networks | Graph traversal | Graphical Models | Information Extraction | Knowledge graphs | Language Processing | Link prediction | Machine Learning | Natural Language | Natural Language Processing | Neo4j | Neural Networks | Node Classification | Ontology | Probabilistic Graphical Models | Python | Recommendation Systems | Relation extraction | SPARQL | Temporal reasoning
Education
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