Data Science Lead
Tasks
- Collaborate to productionize AI components and integrate into enterprise systems
- Design and optimize LLM powered retrieval and validation pipelines
- Design evolve and oversee AI and machine learning architecture for automated compliance validation
- Develop explainability traceability and validation mechanisms
- Drive technical decisions on embeddings vector databases and retrieval strategies
- Ensure AI workflows are reproducible testable maintainable
- Establish evaluation frameworks benchmarking and continuous improvement
- Improve system reliability model performance scalability and operational effectiveness
- Lead architectural discussions with product engineering data science and compliance stakeholders
- Scale AI capabilities into enterprise grade platform
Perks/Benefits
Skills/Tech-stack
Deep learning | Embeddings | Explainable AI | LLM Evaluation | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Benchmarking | NLP | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Testable Pipelines | Traceability | Vector Databases
Education
N/A
Roles
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