Senior Consultant – Semantic Data & AI Engineer
Tasks
- Build semantic layers
- Build vector search
- Create APIs
- Create ontologies
- Deploy to production
- Design knowledge graphs
- Develop Java services
- Develop Python transformations
- Develop data pipelines
- Develop semantic search
- Implement CI/CD pipelines
- Implement RAG and GraphRAG
- Lead workstreams
- Mentor junior consultants
- Transform and map data
- Validate data with SHACL
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Amazon Neptune | Apache Jena | Automated testing | Azure | BigQuery | CI/CD | Containerization | Databricks | Git | Google Cloud | Graph Databases | GraphDB | GraphRAG | JSON-LD | Java | Machine Learning | Microsoft Fabric | NLP | Neo4j | OWL | Python | RAG | RDF | RDFS | Redshift | SKOS | SPARQL | Shacl | Snowflake | Stardog | Turtle | TypeDB | Vector Search
Education
N/A
Roles
AI | AI Engineer | Consultant | Data Engineer | Engineer | Semantic Data Engineer | Senior Consultant
Regions
Countries
States
Cities
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