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1 месяц назад

Staff/Lead LLM Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Singapore
Релокация
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff/Lead LLM Data Scientist (AI): Designing and building end-to-end LLM-based systems for a personal travel assistant with an accent on understanding user intent, multi-step trip planning, and integration with internal booking systems. Focus on translating ambiguous product problems into production-ready ML/LLM designs, balancing quality, latency, cost, and reliability in a real-world environment.

Location: Singapore based. Full visa sponsorship and relocation assistance available for eligible candidates.

Company

hirify.global, part of Booking Holdings, is a travel company connecting people to destinations and experiences through millions of hotels, flights, and activities worldwide.

What you will do

  • Design, build, and own end-to-end LLM-based systems from user intent to booking.
  • Translate open-ended product problems into concrete ML and LLM designs for production.
  • Partner with product, engineering, and leadership to shape the product and user experience.
  • Ship quickly, learn from production usage, and continuously improve system behavior at scale.

Requirements

  • Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation.
  • Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context/memory management), with a strong focus on evaluation, testing, and iteration.
  • Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces.

Culture & Benefits

  • Help millions of travelers make better, more confident decisions.
  • High ownership and direct impact on real booking decisions, not just demos.
  • Play a key role in both implementation and product direction.
  • Competitive compensation aligned to experience and impact.

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