Data Scientist/AI Engineer
Posted Updated
Job Summary (List Format):
- Design and optimize the enterprise knowledge layer to enhance information discovery and utilization.
- Manage and maintain taxonomy structures for effective knowledge organization.
- Enrich metadata to improve content discoverability and semantic understanding.
- Develop and refine semantic retrieval and search relevance systems.
- Enable effective knowledge discovery, comprehension, and utilization by AI agents.
- Apply and evaluate information retrieval and embedding models.
- Implement and improve semantic search, ranking, and query understanding techniques.
- Utilize prompt engineering for AI-driven applications.
- Conduct AI evaluation, benchmarking, and data analysis to ensure system effectiveness.
- Employ Python and SQL for data processing, analysis, and system integration.
- Design and optimize the enterprise knowledge layer to enhance information discovery and utilization.
- Manage and maintain taxonomy structures for effective knowledge organization.
- Enrich metadata to improve content discoverability and semantic understanding.
- Develop and refine semantic retrieval and search relevance systems.
- Enable effective knowledge discovery, comprehension, and utilization by AI agents.
- Apply and evaluate information retrieval and embedding models.
- Implement and improve semantic search, ranking, and query understanding techniques.
- Utilize prompt engineering for AI-driven applications.
- Conduct AI evaluation, benchmarking, and data analysis to ensure system effectiveness.
- Employ Python and SQL for data processing, analysis, and system integration.