Data Science Chief Expert, CX
Montreal, Quebec, CA, H3B 0B3
CAD 216K-537K Executive-level Full Time
Tasks
- Build AI capabilities using enterprise business data
- Build semantic and contextual foundation for AI agents
- Deploy and run AI models in production
- Design and maintain enterprise ontologies
- Develop and operationalize machine learning and AI solutions
- Partner with cross functional teams for production ready solutions
- Translate business challenges into AI use cases
Perks/Benefits
Skills/Tech-stack
AWS | Agile Development | Azure | Business Process | Business Process Intelligence | Cloud platform | Continuous Improvement | Cypher | Data Governance | Data Mining | Data Preprocessing | Data mesh | Data product | Databricks | Deduplication | Deep learning | Embeddings | Entity Resolution | Experimentation | Feature Engineering | GQL | Generative AI | Google Cloud | Google Cloud Platform | HANA Cloud | Identity stitching | Information Retrieval | Knowledge graph | Language Models | Large Language Models | Machine Learning | Model Validation | OWL | Ontology Modeling | Process Intelligence | PyTorch | Python | RDF | RDFS | Retrieval-Augmented Generation | SAP Datasphere | SAP HANA | SAP HANA Cloud | SKOS | SPARQL | SPARQL Querying | SQL | Scikit-learn | Semantic Contracts | Shacl | Statistical modeling | TensorFlow | Vector Databases
Education
Roles
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