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GliaCloud 提供以人工智慧為基礎的影音產製平台，透過多項產品與 AI 技術，賦能橫跨全球的媒體與企業客戶輕鬆創建大量多樣化的影片。 作為前端工程師，你將與一群喜歡挑戰並樂於學習新技術的同

Manage and lead the design, implementation, and maintenance of AI infrastructure systems for reliable operations of VNAP's AI prediction services and training environments Co-work with IT/CIM infra teams, which host CPU/GPU application servers and database services such as VM/K8S, Kafka, MongoDB, Oracle middleware for VNAP, to ensure high availability and reliability through well-established monitor metrics and alarms. Design and implement infra-as-code tools like Ansible and Terraform to establ

Survey AI-related papers and solutions. Understand and implement the-state-of-the-art AI approaches. Cooperate with cross-functional team members. Problem Solving Capability

【熱血團隊】 域動 Data Team 是由一群對『數據分析』及『AI 應用』具有研究及開發熱誠的成員所組成。在這裡你可以接觸到大量即時的使用者行為資料，並將資料科學模型應用於: 『網路廣告投放優化』 『網路用

are many people who lose their lives. We want to provide quality medical care to them. By using AI, we are providing a way to diagnose diseases rapidly on-site and in early stage! Our company are providing medical equipment with embedded AIs in worldwide such as a mobile X-ray machine! Right now, we are saving many people’s lives using our AI-embedded medical equipment. 【JD】 Development/Deployment of AI Model 1. Managing

Understanding business objectives of customers and eliciting requirements Formulating real world problems into corresponding solvable abstract representations Evaluating edge design that are feasible to deal with a given problem Developing and deploying intelligent edge product / machine learning into production Integrating intelligent edge automation / machine vision systems Tracking product performance in the field and driving continual performance improvements

GLSoft 相信科技能夠創造更好的世界，我們正在尋找與我們有相同信念的夥伴加入我們的行列。 【 職務內容 】 1. 依據不同專案，與小組成員合作開發和維護客戶的長期專案需求 2. 根據產品需求文

"營運功能單位 核心競爭力中心 核心競爭力中心以新技術研究應用發展為核心主軸，為公司蓄積更豐厚的事業量能，目前團隊包含AI應用、自駕車、雲端服務等，如果您正在找一個能盡情發揮所

1.AI智能徵審系統管理與擴大應用。 2.規劃風險數位化專案。 3.整合風險管理及跨單位溝通協調。 4.掌握市場AI應用並規劃風險情境導入解決方案。

演算法設計、實作及相關程式撰寫。 AI模型訓練、微調、驗證及發佈。 與系統後端進行資料串接及測試。 持續關注如自然語言處理、影像處理及生成式AI技術。