Назад
4 дня назад

AI Engineer (GenAI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

AI Engineer (GenAI): Developing and productionizing cutting-edge GenAI applications for customers with an accent on RAG, multi-agent systems, and fine-tuning. Focus on solving complex customer problems using Databricks AI research techniques and influencing the product roadmap through cross-functional collaboration.

Location: Must be based in Tokyo, Japan

Company

Databricks is the data and AI company that provides a unified Data Intelligence Platform for data, analytics, and AI, founded by the creators of Apache Spark, Delta Lake, and MLflow.

What you will do

  • Develop and deploy production-grade GenAI solutions using the latest research techniques.
  • Own the end-to-end rollout of consumer and internal GenAI applications.
  • Serve as a trusted technical advisor to customers across various domains.
  • Collaborate with product and engineering teams to influence the product roadmap.
  • Present technical insights at industry conferences like Data + AI Summit.

Requirements

  • Native-level fluency in Japanese and professional working proficiency in English required.
  • Extensive industry experience in data science and machine learning.
  • Proven expertise in building GenAI applications (RAG, multi-agent systems, fine-tuning).
  • Experience deploying production-grade ML models on AWS, Azure, or GCP.
  • Graduate degree in a quantitative discipline or equivalent practical experience.
  • Ability to travel once every 4-8 weeks to visit customers.

Nice to have

  • Experience using the Databricks Intelligence Platform and Apache Spark.
  • Strong background in teaching technical concepts to diverse audiences.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the region.
  • Commitment to a diverse and inclusive work culture.
  • Opportunities to work on first-of-its-kind AI applications.
  • Collaborative environment with cross-functional engineering and product teams.

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