Data Science Lead
Tasks
- Design and optimize LLM powered retrieval and validation pipelines
- Design and oversee AI and machine learning architecture for compliance validation workflows
- Drive technical decisions for embeddings vector databases and retrieval strategies
- Ensure reproducibility testing and maintainability of AI workflows
- Establish evaluation and benchmarking frameworks
- Implement explainability traceability and validation mechanisms
- Productionize AI components with engineering teams
- Scale AI capabilities into enterprise platform
Perks/Benefits
Skills/Tech-stack
Benchmarking | Document Intelligence | Embeddings | Explainable AI | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Python | RAG Architecture | Retrieval-Augmented Generation | Traceability | Vector Databases
Education
N/A
Roles
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