Sr. Data Scientist
2 weeks ago
大量のデータを使って機械学習(ML)モデルや深層学習(DL)モデルを開発することにやりがいを感じますか?大手のグローバル企業が進めるデータ利活用による新しいビジネスの創生に関わりたいと思いませんか?多様な業種の企業でのAWS ML、DLのプロジェクトへの参画を通じて様々なリアルケースに触れることでスキルを深めたいと思っていますか?Amazonではこれまで長年にわたって機械学習に投資しており、引き続きML/DL/AIの領域でリードしていただける方を募集しています。
AWS Professional Servicesは、AWSのお客様がビジネスや運用上の課題を解決するために機械学習の利用を加速し、組織内のイノベーションを促進できるよう支援しています。私たちは、Customer Obsessionにフォーカスし、お客様の成功に共に歩んでいけることを誇りに思っています。MLモデルやDLモデルの構築といったご経験をお持ちの方には、ぜひご参加いただきたいと思います。常にイノベーションを追求するAWSで、素晴らしいチームメイトと一緒に仕事をし、共にお客様を支援できることを楽しみにしています。
Key job responsibilities- お客様のビジネスニーズを理解し、AWSの機械学習、深層学習、AIに関わるサービス、プラットフォーム、フレームワークおよびEC2インスタンスを活用したソリューションをご案内します。
- 営業活動の支援、ニーズの検証、アプローチの定義、データの集計、探索的データ分析、予測モデルの構築と検証、検証済みモデルの展開、およびその結果を使って組織にビジネスインパクトをもたらすためのトレーニングの提供などの活動を通じてML/DLプロジェクトの最初から最後に渡ってお客様を支援します。
- TensorFlow、Keras、PyTorch、MXNetなどの深層学習フレームワークを使用して、お客様のDLモデル構築を支援します。
- SparkとAmazon SageMakerを使用して、お客様が機械学習モデルを構築するのを支援します。
- AI/ML Consultant, ML Engineer と協力して、関連データの分析、抽出、正規化、ラベリングなどを行います。また、お客様がモデルを構築した後にビジネスでの結果が出せるように支援します。
- 上記支援のために、AWSサービスを始めとして、GitやDocker、SQLコマンドなど、幅広いITツールを活用した作業を行います。
- コンピュータサイエンス、機械学習、オペレーションズ・リサーチ、統計学、数学などの分野で大学を卒業された方、またはそれと同等のご経験をお持ちの方。
- 機械学習エンジニアまたはデータサイエンティストとしての経験があり、MLモデルまたはDLモデルの構築実績がある方。
- データを分析し、そこから隠れたパターンなど知識発見に貢献した実績。
- 様々な役割のお客様や関係チームと共同で仕事を進められる高いコミュニケーションスキル。
- PythonやRなどのプログラミング言語を利用したデータ分析やモデル構築の経験。
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