(USA) Principal, Data Scientist
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El puesto
Develop LLM-powered intelligent experiences that interpret and generate insights from tabular and unstructured data.
Build and optimize personalized Q&A systems using large language models to deliver context-aware responses.
Design conversational talent recommendation systems, blending autonomous agent architectures with personalized recommendations.
Advance traditional recommender systems into multi-topic, interactive experiences that reflect user intent.
Construct multi-agent intelligent workflows that translate natural language into complex, goal-directed task sequences.
Lead end-to-end AI/ML product development and promote trustworthy AI practices across engineering, policy, and product teams.
Build and optimize personalized Q&A systems using large language models to deliver context-aware responses.
Design conversational talent recommendation systems, blending autonomous agent architectures with personalized recommendations.
Advance traditional recommender systems into multi-topic, interactive experiences that reflect user intent.
Construct multi-agent intelligent workflows that translate natural language into complex, goal-directed task sequences.
Lead end-to-end AI/ML product development and promote trustworthy AI practices across engineering, policy, and product teams.
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