Senior Data Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Conduct applied AI and ML research
- Design model evaluation frameworks
- Develop experimental AI prototypes
- Develop knowledge graphs and graph reasoning models
- Evaluate explainability bias mitigation and trustworthiness
- Explore transformer architectures and embedding models
- Implement NLP for structured and unstructured data
- Perform feature engineering and representation learning
- Publish research technical whitepapers and briefs
- Support AI governance and data readiness initiatives
- Transition prototypes into production systems
Perks/Benefits
Skills/Tech-stack
800-53 | AWS | Agile | Bias Mitigation | Containerization | Deep learning | Document Exploitation | Elasticsearch | Embeddings | Experimental Design | Feature Engineering | Graph analytics | Huggingface | Information Retrieval | Knowledge graphs | Language Models | Language Processing | Large Language Models | ML Model Deployment | Machine Learning | Machine Learning Model Evaluation | Model Deployment | Model Evaluation | Model Explainability | NIST 800 | NIST 800-53 | Natural Language | Natural Language Processing | OCR | Ontology Engineering | OpenSearch | Optimization | PyTorch | Python | Ranking | Representation Learning | Retrieval-Augmented Generation | SAFe | Semantic Modeling | Statistical modeling | TensorFlow | Transformers | Zero Trust
Education
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