Tokyo Michael Page
MLOps/LLMOpsの実践を通じてAI基盤を構築できる
グローバル環境でAIガバナンスにも関与できる

企業情報

世界的に展開する大手保険会社。AI技術を活用した業務効率化と顧客体験の向上を目指し、社内のAI基盤強化に注力しています。

職務内容

Databricks MLFlowを用いたML/AIパイプラインの構築・運用

MLOps/LLMOpsの標準に基づくモデルデプロイ・監視の実装

Feature Storeの設計・管理

自動テストフレームワークの開発

モデル監視ソリューションの導入(MLOps Index準拠)

Terraformを用いたIaCによるインフラ構築・最適化

SecureGPTを活用したLLM統合の支援

データサイエンティストとの連携によるモデル要件の実装

技術的課題の早期発見と対応、進捗報告

理想の人材

コンピュータサイエンスまたは関連分野の学士号

ソフトウェア開発経験5年以上(うちML/AI領域2年以上)

Pythonによる開発経験、MLフレームワーク(PyTorch、TensorFlow等)の使用経験

MLFlowやKubeflowなどのMLOpsツールの実務経験

AWSやコンテナ技術の知識

CI/CD/CT、DevOps/ModelOps/DataOpsの理解

DatabricksなどのクラウドSQLウェアハウスの活用経験

AI倫理・公平性指標、関連法規(GDPR等)への理解

金融・保険業界での知識・経験

英語:ビジネスレベル、日本語:歓迎

What's On Offer

ハイブリッド勤務(東京オフィス)

現年収・経験・スキルに応じた優遇あり

フレックスタイム制度あり(基本勤務時間 9:00〜17:00)

グローバルな環境でAI技術の実装と運用に携われる

Contact: Victor Alesse

Quote job ref: JN
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