Job opening - [Professional Contract] Azure Data Science Platform Engineer (AI) - Foreign Insurance Firm - Hybrid in 東京23区 | Randstad

summary

東京23区, 東京都
¥7,000,000 - ¥12,000,000 per year, 年収700 ～ 1,200万円
contract

job category
information technology

job details

社名
社名非公開

職種
データサイエンティスト

業務内容
WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

求められる経験
Candidate Profile
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.

Required Skills & Qualifications

Languages
•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

Core Skills
•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.

Preferred
•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.

保険
健康保険　厚生年金保険　雇用保険

休日休暇
土曜日　日曜日　祝日

給与
年収700 ～ 1,200万円

賞与
-
雇用期間
期間の定めなし

show more

社名
社名非公開

職種
データサイエンティスト

業務内容
WFH flexibility! Up to 4 days/week!
Global Environment!
Competitive salary!

求められる経験
Candidate Profile
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.

Required Skills & Qualifications

Languages
•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

Core Skills
•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.

Preferred
•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.

保険
健康保険　厚生年金保険　雇用保険

休日休暇
土曜日　日曜日　祝日

給与
年収700 ～ 1,200万円

賞与
-
雇用期間
期間の定めなし

show more

experience
Candidate Profile We are looking for a candidate who combines strong data science delivery capabilit

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