Data Science Chief Expert, SCM
Tasks
- Build Retrieval-Augmented Generation solutions
- Build semantic and contextual foundation for AI agents
- Collaborate with product, engineering, and business teams
- Deploy and operate AI models in production
- Design and maintain enterprise ontologies
- Develop and operationalize machine learning and AI solutions
- Develop entity resolution and identity stitching pipelines
- Support AI workflows using cloud and data platforms
- Translate business challenges into AI use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile Development | Azure | Business Process | Business Process Intelligence | Cloud platform | Cypher | Data Preprocessing | Data mesh | Data replication | Data virtualization | Databricks | Deep learning | Embeddings | Entity Resolution | Experimentation | Feature Engineering | Federated Query | GQL | Generative AI | Google Cloud | Google Cloud Platform | Graph Databases | HANA Cloud | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Model Validation | OWL | Process Intelligence | Property graphs | PyTorch | Python | RDF | RDFS | Retrieval-Augmented Generation | SAP Datasphere | SAP HANA | SAP HANA Cloud | SAP HANA Cloud Knowledge Graph Engine | SKOS | SPARQL | SPARQL 1.1 | SQL | Scikit-learn | Semantic Contracts | Shacl | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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