(USA) Principal, 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 personalized Q&A systems and context-aware responses using large language models.
Design conversational talent recommender systems by combining autonomous agent architectures with personalized algorithms.
Evolve traditional recommender systems into multi-topic, interactive experiences that reflect user intent.
Create multi-agent workflows that translate natural language into complex, goal-directed tasks and pipelines.
Collaborate across data science, ML engineering, product, and UX to ship production-grade AI/ML solutions, ensuring safety, governance, and ongoing impact.
Build personalized Q&A systems and context-aware responses using large language models.
Design conversational talent recommender systems by combining autonomous agent architectures with personalized algorithms.
Evolve traditional recommender systems into multi-topic, interactive experiences that reflect user intent.
Create multi-agent workflows that translate natural language into complex, goal-directed tasks and pipelines.
Collaborate across data science, ML engineering, product, and UX to ship production-grade AI/ML solutions, ensuring safety, governance, and ongoing impact.
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