Machine Learning Engineer - LLMs Knowledge Graphs
Tasks
- Build FastAPI application services
- Design knowledge graph architectures
- Develop and deploy machine learning models
- Implement network traversal logic
- Implement relationship strength analysis
- Integrate knowledge graphs with LLMs using RAG
- Query graph data with Cypher
- Query graph data with SPARQL
- Transform data into graph structures
Perks/Benefits
- Annual company retreat
- Company-wide winter break
- Education bonus
- Equity participation
- Optional in person events and meetups
- Paid time off
- Tailored career roadmaps
Skills/Tech-stack
API Development | AWS | AWS Neptune | Azure | Cloud platform | Cypher | Embeddings | FastAPI | Flask | Google Cloud | Google Cloud Platform | GraphDB | GraphRAG | Knowledge graphs | Machine Learning | Memgraph | Neo4j | Ontology Design | Python | RAG | RDF | Retrieval-Augmented Generation | SPARQL | Search techniques | Semantic Search | Semantic Search Techniques | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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