ITエンジニア（IT・Web・通信・ゲーム）/東京23区の転職求人一覧

- Support and maintain business applications used in Japan operations, including ERP-related systems, retail applications, and reporting platforms.- Manage daily application operations, user support, issue resolution, and vendor coordination.- Monitor system performance and ensure operational stability and business continuity.- Support system integrations and interfaces between local and global platforms.- Coordinate data mapping, interface specifications, and integration requirements with internal and external stakeholders.- Support middleware, batch jobs, and file-based integrations.- Participate in upcoming global ERP/SAP transformation initiatives, including testing, migration, and rollout activities.- Prepare and maintain operational documentation, procedures, and knowledge management materials.- Work closely with business users and global IT teams to improve processes and standardize operations.- Contribute to knowledge transfer and lo

- Own specific technical areas, drive and execute ML product projects, track progress and mitigate risks by collaborating closely with product managers, UX designers, architects, engineers, and stakeholders from other cross-functional teams.- Play a key role in defining system architecture for the ML products and implementing specific components to enhance the user experience.- Design and implement performant, scalable ELT (Extract, Load, Transform) data pipelines, considering an ML model's lifecycle (training and inference).- Take responsibility for technical problem solving and meeting ML product objectives creatively in ambiguous scenarios.

■ご紹介する企業最先端のテクノロジーを活用し、多様な産業のデジタルトランスフォーメーションを支援するグローバル企業です。革新的なソリューションとプロフェッショナルなチームにより、クライアントのビジネス価値最大化に貢献しています。■ポジション概要グループがプライムで推進するERP/CRM事業にて、プロジェクトのPM・PMOを担当し、顧客の事業発展に貢献するポジションです。■業務内容・ERP/基幹システム導入プロジェクトの統括および管理・品質向上に向けた改善提案および施策の立案・実行・5〜20名規模のプロジェクトチームのマネジメント・PMOとしての進捗管理・ベンダーコントロール・報告業務・プロジェクト管理プロセスの標準化およびコンサルティング・要件定義から受入支援、データ移行までの品質保証支援#LI-Hybrid#LI-KN

■About our ClientA pioneering Japanese space technology startup dedicated to democratizing space access. They operate a high-frequency Earth observation constellation, leveraging proprietary micro-satellite technology to provide data-driven solutions for global environmental.■Role OverviewAs a Data Scientist/ML Engineer, you will develop advanced computer vision algorithms to analyze massive datasets from orbiting satellites. You will build systems for object detection, change extraction, and time-series analysis to solve real-world problems for global clients.■Main tasks include:・Developing ML/DL algorithms for satellite image analysis.・Implementing object detection and semantic segmentation.・Building scalable machine learning pipelines for big data.・Evaluating model performance and ensuring accuracy.・Researching and implementing state-of-the-art CV techniques.・Collaborating with cross-functional teams to deliver insights.#LI-Hybrid#LI-KN

■About our ClientA global leader in technology and cloud computing, pioneering the AI revolution. Our client provides an advanced AI portfolio, including frontier models and robust platforms, to solve complex business challenges worldwide.■Role OverviewAs an embedded builder, you will bridge the gap between frontier AI products and production-grade reality for enterprise customers. This role involves architecting, coding, and deploying AI systems while providing direct feedback to the Cloud product roadmap.■Main tasks include:・Developing production-grade agentic workflows and multi-agent systems.・Architecting connections between AI products and live infrastructure.・Building evaluation pipelines and observability frameworks.・Converting field insights into reusable modules or feature requests.・Collaborating with customer engineering teams to share best practices.・Managing technical blockers to bring AI systems to maturity.#LI-Hybrid#LI-KN