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Open nowPosted 285 days ago

AI Engineer

Nexus Corporation224 open roles

Where
Tokyo
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Your applicationOpen nowAI EngineerNexus Corporation · Tokyo
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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 285 days ago

The posting

職務内容 ◆部門紹介 AI、クラウド、データ、主要な DX 機能を備えたユニットです。 主にコンサルティングを含む上流工程から開発、その後の運用保守に至るまで、エンドツーエンドの DX ソリューションをお客様に提供しています。 お客様向けの AI ファースト アプローチ、またユニット間のクロストレーニングを可能にしており、AIを含めた大規模なシステム構築を提供しています。 ◆プロジェクト概要・役割 大手ゼネコン企業向けに、主にデータ基盤/複数アプリケーションを運用保守/AI活用するプロジェクトです。 昨今、お客様でAI活用のニーズが高まっており、AI(主に生成AI)を活用したアプリケーション提供を行います。 お客様と「AIをどう使うか」「どう設計するか」等議論しながらPoC→実装→改善に取り組む活動です。 ◆プロジェクト規模 データ基盤運用チーム: 20名(社員=4名、Offshore=16名) 複数アプリケーション運用保守チーム: 13名(社員=5名、 Offshore=8名) AI活用 4名(社員=2名、Offshore=2名) ※同顧客向けには他チームもサポートしており総勢50名規模のプロジェクトです。 ◆ポジションの魅力 1.ハイブリッド体制のプロジェクトであるため、グローバルな視点でのプロジェクト経験を得られます。 2.お客様の利用システムが様々であり、企業におけるIT活用の知見を幅広く得ることができます。 3.プライム案件(顧客との直接契約)となるため、プライムの立場での意思決定や折衝を通して、よりやりがいを感じることが可能です。 ◆仕事内容 1. モデル開発 生成AI、機械学習や深層学習モデルを設計・構築。 データの前処理(クリーニング、特徴量抽出) モデルの学習・評価・チューニング 2. 実装・統合 AIをアプリケーションやサービスに組み込む。 APIやクラウドサービス(AWS)を活用。 推論処理の高速化やスケーラビリティ対応。 3. 運用・保守 モデルの精度を継続的に監視。 新しいデータで再学習(モデルのアップデート)。 MLOps(モデルのライフサイクル管理)を実施。 4. 技術選定・研究 最新のAI技術やフレームワークを調査。 ビジネス課題に最適なアルゴリズムを選定。 登録資格 ◆必須要件 ・プログラミング経験(Python,Java等) ・生成AI・機械学習・深層学習の知識 ・コミュニケーションが円滑に取れる方 ・ビジネスマナーが身についている方(優先順位をつけて自分のタスクを管理するなど) ・ネイティブに近い日本語スキル ◆歓迎要件 ・AWS開発経験 ◆言語要件 英語スキルは読み書きレベルは必須。ビジネスレベルの英語力があるとよい。 主にオフショアチームとのコミュニケーションに利用。

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