Data Science Lead
Tasks
- Collaborate to productionize AI components
- Design and optimize LLM powered RAG pipelines
- Design and oversee AI and machine learning architecture for compliance validation
- Drive technical decisions for embeddings and vector databases
- Ensure AI workflows are reproducible testable and maintainable
- Establish model evaluation and benchmarking frameworks
- Implement explainability and traceability mechanisms
- Improve reliability model performance scalability and operations
- Lead architectural alignment across stakeholders
- Support scaling from workflows to enterprise platform
Perks/Benefits
Skills/Tech-stack
Benchmarking | Deep learning | Document Intelligence | Embeddings | Explainable AI | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | Traceability | Vector Databases
Education
N/A
Roles
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