Data Science Lead
Tasks
- Build LLM powered retrieval and validation pipelines
- Design and evolve AI and machine learning architecture for compliance validation
- Develop evaluation frameworks and benchmarking processes
- Ensure AI workflows are reproducible testable and maintainable
- Implement explainability traceability and validation mechanisms
- Optimize embeddings and vector database retrieval strategies
- Productionize AI components with engineers
- Scale AI capabilities to enterprise platform
Perks/Benefits
Skills/Tech-stack
Benchmarking | Deep learning | Embeddings | Explainable AI | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Traceability | Vector Databases
Education
N/A
Roles
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