(USA) Distinguished, Data Scientist
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The role
Develop and deploy LLM-powered intelligent experiences that interpret and generate insights from both tabular and unstructured data.
Build and optimize personalized Q&A systems using large language models with context-aware responses.
Design conversational talent recommendation systems that blend autonomous agents with personalized recommendation algorithms.
Advance traditional recommender systems into multi-topic, interactive experiences that reflect user intent.
Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences; collaborate across data scientists, ML engineers, product managers, and UX designers; deploy and monitor scalable AI/ML solutions in production.
Ensure trustworthy, safe, and responsible AI; contribute to internal/external AI/ML research and drive end-to-end product development from ideation to production.
Build and optimize personalized Q&A systems using large language models with context-aware responses.
Design conversational talent recommendation systems that blend autonomous agents with personalized recommendation algorithms.
Advance traditional recommender systems into multi-topic, interactive experiences that reflect user intent.
Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences; collaborate across data scientists, ML engineers, product managers, and UX designers; deploy and monitor scalable AI/ML solutions in production.
Ensure trustworthy, safe, and responsible AI; contribute to internal/external AI/ML research and drive end-to-end product development from ideation to production.
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