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3 дня назад

Staff/Lead LLM Data Scientist (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
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): Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book with an accent on evaluation, testing, and iteration. Focus on helping millions of travelers make better, more confident decisions for trips that matter to them.

Location: Singapore based

Company

hirify.global bridges the world through travel, offering great deals across millions of hotels and holiday properties, flights, and experiences worldwide.

What you will do

  • Own end-to-end LLM systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book.
  • Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment.
  • Drive cross-functional decisions, partnering closely with product, engineering, and leadership to make informed trade-offs that directly 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 and 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 where requirements evolve.

Culture & Benefits

  • Meaningful user impact by helping millions of travelers make better, more confident decisions for trips that matter to them.
  • High ownership and impact, directly shaping a system used in real booking decisions.
  • Play a key role in both implementation and product direction.
  • Flexible leveling with compensation aligned to experience and impact.

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