Platform Engineer (ML Infrastructure)

  • Tokyo
  • No Remote
  • Full-time
  • December 19, 2022
Conditions
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¥4.2M ~ ¥15M /yr
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Apply from Anywhere 👍
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Relocation to Japan 👍
(Overseas visa sponsorship supported)
Requirements
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Language Requirements
Japanese: Business Level
English: Conversational

Overview 仕事内容

As a Platform Engineer (ML Infrastructure), you will be responsible for enhancing, expanding and maintaining the company's on-premise and cloud GPU clusters that are used by our ML engineers for their project, product and R&D work. We aim to solve society's issues with AI. This role is the critical enabler for our ML engineers to use our computing resources effectively.

ML Infrastructure領域でプラットフォームエンジニアとして、当社の機械学習エンジニアがプロジェクトやプロダクト開発、研究開発業務で使用するオンプレミスおよびクラウドのGPUクラスタの強化、拡張、保守を担当いただきます。私たちは、社会の課題をAIで解決することを目指しており、このポジションは、当社のMLエンジニアが当社のコンピューティングリソースの効果的な活用を可能にするための重要なポジションです。


Who We are Looking for 求める人物像

You are a good team worker who is comfortable discussing with various stakeholders to gather/structure their requirements about the computing/network resources in an on-premise and cloud environment, propose architectural changes and implement/maintain it with other colleagues. You are highly resourceful, analytical, and have a combination of focus, flexibility, self-motivation, and integrity.

  • オンプレミスやクラウド環境におけるコンピューティング/ネットワークリソースに関する要件を収集/構造化し、アーキテクチャの変更を提案できる方
  • 様々なステークホルダーと議論しチームプレイが得意な方
  • 臨機応変に対応でき、分析力があり、集中力、柔軟性、自発性、誠実さを兼ね備えている方


Required Skills 必須要件

  • Strong expertise in Linux and network administration
  • Hands-on experience in managing GPU machines on-premise
  • Hands-on experience in container orchestration (Kubernetes, etc..)
  • Business level Japanese, both written and verbal
  • At least elementary written communication in English

  • Linuxおよびネットワーク管理に関する高度な専門知識
  • ハンズオンでのオンプレミスでのGPUマシンの管理に関する経験
  • ハンズオンでのContainer Orchestration(Kubernetesなど)の経験
  • ビジネスレベルの日本語スキル(読み書き、会話)
  • 文章での基礎的なコミュニケーションができる英語スキル


Preferred Skills 歓迎要件

  • Hands-on experience in managing cloud & on-premise hybrid environments
  • A good understanding of modern cloud security best practices 
  • Proficiency in software development practices
  • Hands-on experience and practical knowledge about MLOps
  • Experience working in a startup environment
  • Bilingual (Japanese & English)

  • クラウドとオンプレミスのハイブリッド環境の管理に関する実践的な経験
  • 最新のクラウドセキュリティのベストプラクティスの十分な理解
  • ソフトウェア開発の経験
  • MLOpsに関する実践的な経験・知識
  • スタートアップ環境での勤務経験
  • バイリンガル(日本語・英語)


At ExaWizards You Can

  • Solve social issues with some of the biggest companies and goverment organisations
  • Work on cutting edge A.I with some of the best specialists in the industry


Screening Process

▼Documentation Check (Resume and Test)
▼Online Coding Interview
▼2nd Interview
▼3rd Interview
▼Final Interview

  • 応募する

ExaWizards is an AI start-up with a simple mission: solve social issues using AI and create a happy society. But to achieve it, they’re tackling issues across a wide variety of industries: Care tech, HR, fintech, medicine, security and more. They believe AI can help solve problems in all these areas, and they’re determined to do just that. Their business model can be broken into two different flows: project-focused and product-focused. For project-focused initiatives, they start from scratch. Their ML engineers and consultants identify business problems and build models aimed at solving them. In their product flow, they take the ML models developed for specific problems and generalize them to be useful for a wider array of problems. Normally they develop these solutions into SaaS products.

View ExaWizards's company page
Platform Engineer (ML Infrastructure) at ExaWizards
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