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1.負責設計、開發和維護Android Library (SDK)。 2.執行應用程式的設計、編碼、修改和測試，以確保及時且高品質的專案交付。 3.根據產品需求進行分析和優化，以提升產品的品質、性能和用戶體驗。 4.評估

維護 與UI 設計師共同討論與評估 協助軟體架構規劃與模組設計 協助產品優化與新技術研究 相關應用技術： 熟悉Objective C / Swift 或 Android SDK / Java程式語言開發 熟悉Xcode 或 Android Studio開發工具 具整合3rd Party Library 和RESTful

KKTV is one of Taiwan's very own OTT streaming services, with a vast library of dramas, movies and anime from countries like Japan, Korea, Thailand, Taiwan, Hong Kong and China. We've been at it since October 2016, and our mission has always been to deliver the smoothest viewing experience and provide the most friendly user experience for our users. We're on the lookout for passionate and creative partners who are interested in the OTT industry

國際化課題，例如跨時區、多語系、不同數字或日期格式習慣等。 我們的產品沒有使用任何framework，使用的library也相當少，我們不需要您熟悉各式各樣業界常用的 framework/library (Ex. Spring, struts, JQuery, AngularJS...etc)。但是需要您

國際化課題，例如跨時區、多語系、不同數字或日期格式習慣等。 我們的產品沒有使用任何framework，使用的library也相當少，我們不需要您熟悉各式各樣業界常用的 framework/library (Ex. Spring, struts, JQuery, AngularJS...etc)。但是需要您

職缺能力經歷要求: - Strong knowledge and concept of programming. - Familiar with front-end development (React, HTML, js, css...). - Good knowledge of Redux, and experience with at least one major Redux side effect library such as Redux-Thunk, Redux-Saga. - Familiar with RESTful API design. - Experience in Linux and shell script. - Experience in Koa & Express. - Experience at least one of SQL DBMS (prefer MySQL) and NoSQL(MongoDB

蹤技術問題並提出解決方案 6. 與後端工程師協作，開發網頁前端互動功能 You will Build reliable, efficient and Loved-by-users applications with React Native / ReactJS Optimize applications for maximum speed and scalability Develop new features to enhance user experience Build reusable libraries and components Track issues and resolutions Collaborate with back-end developers Stay current on emerging technologies

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e