Senior Data and Applied Scientist, Finance and Spend Autonomous Suite, Palo Alto
Tasks
- Apply machine learning deep learning and statistical modeling
- Build RAG pipelines and embeddings
- Build scalable AI workflows on cloud and data platforms
- Collaborate with cross-functional teams to translate business challenges into AI solutions
- Deploy and operate AI ML solutions in production
- Design and maintain enterprise ontologies and semantic models
- Develop generative AI and LLM based solutions
- Develop vector database based knowledge grounding
- Evaluate and improve AI models on enterprise datasets
- Integrate knowledge graphs and enterprise data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud Computing | Cypher | Databases | Databricks | Deep learning | Embeddings | GCP | Graph Databases | HANA Cloud | Knowledge graphs | Language Processing | Machine Learning | Metadata Management | Natural Language | Natural Language Processing | OWL | Property Graph | Property Graph Databases | PyTorch | Python | RDF | Retrieval-Augmented Generation | SAP HANA | SAP HANA Cloud | SPARQL | SQL | Scikit-learn | TensorFlow | Vector Databases
Education
Regions
Countries
States
Cities
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