Data Science Chief Expert, Supply Chain Management
Tasks
- Build AI retrieval and knowledge grounding capabilities
- Build enterprise semantic and ontology layers for AI
- Deploy and operate AI solutions in production
- Design and maintain ontologies and semantic models
- Develop end to end machine learning and AI solutions
- Develop entity resolution and deduplication pipelines
- Support AI workflows using cloud and data platforms
- Translate business needs into AI use cases and technical designs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Business Data Cloud | Business Process | Business Process Intelligence | Cloud platform | Cypher | Data Preprocessing | Data cloud | Data mesh | Data product | Databricks | Deep learning | Domain Model | Embeddings | Entity Resolution | Experimentation | Feature Engineering | GQL | Generative AI | Google Cloud | Google Cloud Platform | Graph API | Knowledge graphs | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | OWL | One domain model | Ontologies | Process Intelligence | PyTorch | Python | RDF | RDFS | SAP Business | SAP Business Data Cloud | SAP Datasphere | SAP Graph | SAP Graph API | SAP HANA | SAP HANA Cloud | SAP HANA Cloud Knowledge Graph Engine | SAP One Domain Model | SKOS | SPARQL | SQL | Scikit-learn | Semantic Contracts | Semantic Retrieval | Shacl | TensorFlow | Vector Databases
Education
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