Data Science Lead
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Summary
Lead the design and scaling of LLM-driven retrieval pipelines, embeddings, and vector databases, collaborating with ML and backend teams to productionize AI solutions.
- Build LLM driven retrieval and validation pipelines
- Collaborate with ML Engineers and Backend teams for productionization
- Design and evolve AI and ML architecture
- Drive embeddings and vector database strategy
- Ensure reproducible testable AI workflows
- Implement explainability and traceability mechanisms
- Lead technical discussions across stakeholders
- Own model evaluation and benchmarking
- Scale AI platform into enterprise solution
Perks/Benefits:
- Comprehensive healthcare
- Fully remote working
- International projects
- Long-term B2B contract