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