Назад
2 дня назад

Sr. Forward Deployed Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Japan/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Sr. Forward Deployed Engineer (AI): Building and productionizing data and AI solutions for customers using the Databricks platform with an accent on end-to-end system architecture and ML/AI integration. Focus on designing scalable big data architectures, implementing MLOps pipelines, and solving complex data challenges to drive measurable business impact.

Location: Tokyo, Japan (includes 20% travel to customers)

Company

Databricks is the data and AI company providing a Data Intelligence Platform to unify data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

  • Lead the delivery of production-grade systems, including reference architectures and custom data applications.
  • Guide strategic customers through the design and deployment of industry-leading big data and AI applications.
  • Own architecture and design decisions to ensure solutions are secure, scalable, and follow best practices.
  • Collaborate with internal Engineering and Product teams to provide feedback and influence the product roadmap.
  • Embed with customer teams to understand technical challenges and deliver high-impact outcomes.

Requirements

  • 6+ years of experience in data engineering, software engineering, or data platforms.
  • Proficiency in Python, Scala, or JavaScript/TypeScript.
  • Expertise in at least one major cloud provider (AWS, Azure, or GCP).
  • Deep knowledge of Apache Spark and distributed computing internals.
  • Fluent in Japanese and professional working proficiency in English.
  • Must be based in Tokyo, Japan and available for 20% travel to customers.

Nice to have

  • Databricks Certification.
  • Working knowledge of MLOps, ML/AI models, and AI APIs.

Culture & Benefits

  • Comprehensive benefits and perks tailored to the local region.
  • Collaborative environment working at the intersection of technology and business impact.
  • Opportunity to influence the roadmap of a leading data intelligence platform.
  • Commitment to diversity, inclusion, and equal employment opportunity.

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