Roles and Responsibilities: Candidate should strengthen development team operations. The Dev P&C team is in the Open Engineering Department, and manages customer facing applications used to create, quote and buy insurance products in addition to internal
Responsibilities encompass collaborating with client IT design teams and Level 1 Service Desk to deliver support for fundamental infrastructure and desktop technologies standard to the clients operational setup. Additionally, the role involves hardware asset management, overseeing the
業務概要: 顧客企業のITサービスマネージメント(ITSM)業務、ITガバナンス体制へのアセスメント、課題抽出、業務改善支援 これら支援計画の提案と実行におけるBA、PM 上記取り組みを推進していく上で付随的に発生する各種リサーチ、内外コミュニケーション Business Overview: Assessment of client companys IT service management (ITSM) operations, IT governance system, problem extraction, and business improvement support BA and PM in proposing and implementing these support plans Various research and internal and
Roles and Responsibilities: Proficient in Siemens Opcenter Discrete configuration, development including Opcenter Connect MOM Well versed with Opcenter Unified architecture and proficient in business logic development and customization using Opcenter Execution Foundation services Responsible for implementation of new
Our client is a famous Group in Tokyo that developing multiple businesses with the mission of ``Changing the world with economic information. Economic information platform, social economic media (BtoC) that expands and deepens learning, (BtoC) that
Roles and Responsibilities: Review of software requirements Support the lead in estimation and planning of testing activities Prepare of test cases and test data Execution of test cases and test data Meeting organization testing metrics such
Roles and Responsibilities: Candidate will be a liaison between employees, by assigning tasks and managing the team Ability to write clean, easy-to-understand code Ability to work independently and complete projects with minimal supervision Requirements A minimum
【Responsibilities】: Envision, build, deploy and operationalize an end-to-end machine learning (ML) and AI pipeline Build a robust enterprise wide architecture for AI and collaborate with data scientists, data engineers, developers, operations and security Perform the following
