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Randstad Logo Randstad · IT - Software Development

Azure Data Science Platform Engineer (AI)

Japan, Tokyo 23 wards 7000000.00 - 12000000.00 JPY / Year · Job Posted July 05, 2026
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Job Description

WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary! We are looking for a candidate who combines strong data science delivery capability with practical production and operational ownership. This is not a pure research role and not a pure platform role. It is intended for someone who can build business-facing AI/ML solutions and also help ensure those solutions are deployable, stable, and maintainable. The ideal candidate is proactive, technically hands-on, comfortable working independently, and effective in cross-functional enterprise environments.

Job Responsibility

  • We are looking for a candidate who combines strong data science delivery capability with practical production and operational ownership
  • This is not a pure research role and not a pure platform role. It is intended for someone who can build business-facing AI/ML solutions and also help ensure those solutions are deployable, stable, and maintainable
  • The ideal candidate is proactive, technically hands-on, comfortable working independently, and effective in cross-functional enterprise environments.

Requirements

  • Bilingual proficiency in Japanese and English is preferred (English is a MUST)
  • Day-to-day communication will primarily be in English, with occasional interaction with Japanese-speaking stakeholders
  • 6+ years of experience in data science, machine learning, advanced analytics, or applied AI, with demonstrated business results
  • Strong experience taking solutions from development into production and supporting them in live environments
  • Strong Python programming skills and solid engineering discipline
  • Experience with GenAI / LLM use cases or solution delivery
  • Hands-on experience with Azure for deploying, supporting, or operating production workloads
  • Strong experience with Terraform and Infrastructure as Code in enterprise cloud environments
  • Experience with CI/CD, GitHub Actions, deployment automation, and DevOps practices
  • Experience with SRE, MLOps, or LLMOps, particularly in monitoring, incident handling, reliability, and operational support
  • Experience managing production incidents, service recovery, escalation coordination, and root cause analysis
  • Understanding high availability, resilience, and security-aware cloud ops
  • Strong ownership, follow-through, and coordination across infrastructure, cloud, data, and engineering teams
  • Experience in financial services, ideally insurance
  • Experience with MLOps tooling and model lifecycle practices
  • Experience with LLMOps practices such as evaluation, observability, and prompt/version management
  • Experience with Power BI
  • Experience with PySpark

Nice to have

  • Experience in financial services, ideally insurance
  • Experience with MLOps tooling and model lifecycle practices
  • Experience with LLMOps practices such as evaluation, observability, and prompt/version management
  • Experience with Power BI
  • Experience with PySpark

What we offer

  • WFH flexibility! Up to 4 days/week!
  • Global Environment!
  • Competitive salary!
  • 健康保険
  • 厚生年金保険
  • 雇用保険
  • 土曜日
  • 日曜日
  • 祝日
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