AI Researcher (AI-Oriented Knowledge Systems)
USD 85K-145K Mid-level Full Time
Tasks
- Build Retrieval Augmented Generation systems
- Build complex question answering systems
- Compress and summarize knowledge for storage and retrieval
- Design knowledge graph reasoning systems
- Design knowledge graph schemas and ontologies
- Detect and resolve knowledge conflicts
- Develop retrieval reranking algorithms
- Extract structured knowledge from multi source data
- Implement hybrid retrieval strategies
- Manage knowledge base timeliness and expiration
- Monitor knowledge base health metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Chroma | Complex Question Answering | Dask | Data Governance | Data Processing | Data cleaning | Deduplication | Entity recognition | Faiss | Flink | Graph Databases | Hybrid retrieval | Information Extraction | JSON | Knowledge graphs | Language Models | Language Processing | Large Language Models | Large Scale Text Processing | Large-scale | Machine Learning | Milvus | Multi-hop reasoning | Natural Language | Natural Language Processing | Neo4j | OWL | Python | Question Answering | RDF | Relation extraction | Reranking | Retrieval optimization | Retrieval-Augmented Generation | Semantic similarity | Spark | Standardization | Symbolic Reasoning | Text Classification | Text processing | Vector Databases | Weaviate | XML
Education
Roles
Regions
Countries
States
Cities
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