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| Location | Tokyo - 23 Wards |
| Job Type | Permanent Full-time |
| Salary | 8 million yen ~ Negotiable, based on experience |
不正検出、信用スコアリング、顧客セグメンテーション、運用、パーソナライズマーケティング向けAI/MLモデルの設計・実装
機械学習パイプラインの開発、モデルの本番環境へのデプロイ
部門横断チームとの協働によるビジネス要件の技術ソリューションへの落とし込み
データ準備、モデル学習、デプロイ、運用監視までのAIソリューション全体のリード
生成AI、NLP、予測分析などの新技術評価
データプライバシー、倫理、規制遵守に沿ったAI運用の確保
社内AI能力向上のための技術指導・知識共有
サイバーセキュリティ・ITインフラチームとの連携による安全なAI運用
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Design and implement AI/ML models for fraud detection, credit scoring, customer segmentation, operations, and personalized marketing
Develop machine learning pipelines and deploy models in production environments
Collaborate with cross-functional teams to translate business needs into technical solutions
Lead end-to-end AI solution lifecycle: data prep → model training → deployment → monitoring
Evaluate emerging AI technologies such as Generative AI, NLP, and Predictive Analytics
Ensure ethical, compliant AI usage in alignment with data privacy and regulatory guidelines
Provide technical mentorship and knowledge sharing to enhance internal AI capability
Collaborate with cybersecurity and IT infrastructure teams to maintain secure AI operations
| Minimum Experience Level | Over 6 years |
| Career Level | Mid Career |
| Minimum English Level | Daily Conversation |
| Minimum Japanese Level | Native |
| Minimum Education Level | Bachelor's Degree |
| Visa Status | Permission to work in Japan required |
コンピュータサイエンス、AI、データサイエンス関連分野の学士または修士号
AI/MLモデル開発および実装で5年以上の実務経験(金融サービスまたはクレジットカード業界尚可)
AIワークフローおよびRAG統合の経験
Python、TensorFlow、PyTorch、Scikit-learn、データ操作ライブラリに精通
データエンジニアリング、特徴量エンジニアリング、データパイプライン自動化の知識
クラウドAIプラットフォーム(AWS SageMaker、Azure ML、GCP Vertex AI)の使用経験
統計モデリング、監督あり/なし学習、ディープラーニング手法の理解
本番環境でのAIモデル運用経験
日本語ネイティブレベル、英語力があれば尚可
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Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
5+ years hands-on experience in AI/ML model development, preferably in financial services or credit cards
Experience with AI workflows and RAG integration
Proficient in Python, TensorFlow, PyTorch, Scikit-learn, and data manipulation libraries
Strong knowledge of data engineering, feature engineering, and automated data pipelines
Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
Understanding of statistical modeling, supervised/unsupervised learning, and deep learning
Proven experience deploying AI models in production
Native Japanese; English proficiency is a plus
| Job Type | Permanent Full-time |
| Salary | 8 million yen ~ Negotiable, based on experience |
| Industry | Bank, Trust Bank |