Data and Applied Scientist, Finance and Spend Autonomous Suite, Palo Alto
Tasks
- Apply machine learning deep learning and statistical modeling to build and evaluate models
- Build and scale semantic layer for AI agents knowledge grounding
- Design and maintain enterprise ontologies and semantic models for AI agents
- Develop RAG pipelines embeddings and vector databases
- Develop and evaluate generative AI and LLM based solutions
- Use knowledge graphs and business process intelligence to ground AI solutions
- Work with cloud data platforms to enable scalable AI workflows
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Databricks | Deep learning | Embeddings | GCP | Generative AI | Graph Databases | HANA Cloud | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Machine learning modeling | Ontology Design | Python | RAG | SAP HANA | SAP HANA Cloud | SQL | Semantic Modeling | Spark | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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