Data Science Chief Expert - Spend Management
INR 3000K-4000K (estimate) Executive-level Full Time
Tasks
- Build entity resolution deduplication and identity stitching pipelines
- Build semantic and contextual foundation for enterprise AI
- Collaborate with cross functional teams to deliver production ready solutions
- Deploy and operate AI solutions in production
- Design and maintain enterprise ontologies and semantic models
- Develop and deploy machine learning and AI solutions
- Develop generative AI and LLM based solutions
- Translate business challenges into AI use cases and technical designs
Perks/Benefits
Skills/Tech-stack
AWS | Agile Development | Azure | Cloud platform | Cypher | Data Mining | Data mesh | Data product | Databricks | Deduplication | Deep learning | Embeddings | Entity Resolution | Experimentation | Feature Engineering | GQL | Generative AI | Google Cloud | Google Cloud Platform | Graph Databases | HANA Cloud | Identity stitching | Knowledge graphs | LLM | Language Models | Large Language Models | Machine Learning | Model Validation | OWL | Ontology Engineering | Production Deployment | PyTorch | Python | RDF | RDF triple store | RDFS | Retrieval-Augmented Generation | SAP Datasphere | SAP HANA | SAP HANA Cloud | SKOS | SPARQL | SPARQL endpoint | SPARQL query | SQL | Scikit-learn | Semantic Contracts | Semantic Retrieval | Shacl | Statistical modeling | TensorFlow | Triple store | Vector Databases
Education
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