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電商跨平台前、後端、APP開發、維護 API 開發與串接; 與第三方服務整合

主要職責 - 開發和維護跨平台的 React Native 行動應用程式 (iOS & Android)。 - 與產品經理、設計師和後端工程師密切合作，實現產品功能並優化使用者體驗。 - 根據開發需求提供專業建議，並針對潛在問題進行風險評估

的彈性補助金，可用於家族旅遊或多項生活津貼 - 將有許多與國外夥伴合作的機會，能累積國際溝通和商業英語能力 【職缺內容】 A. Overall responsible for the Applications support and systems setup in DBS Taiwan, manages the entire Technology Applications in the Bank both on Operations and Project delive

Job Overview To support startups/developers to develop products/services based on various Qualcomm platforms including AI PC and IoT Product/feature development, software integration, testing, debugging and performance tuning and optimization To communicate across teams internally and externally on technical related topics and issues

【About DBS】 星展銀行總部位於新加坡，是全洲最大的金融集團之一，2023 年購入台灣花旗消費金融業務後，星展即成為台灣最大外商銀行。目前已蟬聯五年「世界最佳銀行」的獎項，以及「全球最佳數碼銀行

行業面臨的諸多挑戰，並致力於創新性地提升其效率和可持續性。 我們正在尋找一位具備出色IOS APP開發技能的App開發工程師，加入我們的團隊，幫助我們實現將科技与建築行業相結合的願景。如

面，確保平台功能完善且穩定，打造一流的用戶體驗。 工作內容 1. 產出Wireframe、Mock-up、UI flow 與 Prototype 2. 負責APP和Mobile APP的介面設計 3. 交付設計文件標註清晰，邏輯明確並可以跨部門說明與溝通 4. 與PM

We are now looking for AI Software Engineers for UpGPT! UpGPT is our innovative LLM SaaS application built for enterprise. We take AI-first approach to knowledge management, bringing AI into workflow, not the other way around. In this role you will design and implement new development features, optimizations, build APIs, analyze and tune performance, and expand functionality coverage. Roles and Responsibilities: - Design, development and implementation of LLM applications. - Define requirements

IdeasLab.com is an innovation lab and start-up studio building proprietary Artificial Intelligence (AI), machine vision, and human motion analysis technologies. The technology we are developing has the capability to perform both human limb tracking and instrument (bat, golf club, tennis racquet) tracking without the use of sensors. Recent advances in AI and deep learning now allow us to perform motion analysis recognizing both body and instrument key points using machine vision only. Responsibil

打造醫療專用大語言RAG模型 核心技能更聚焦 → 以「 能使用現有技術與最佳化 」為重點，不強求從零打造檢索技術或微調 LLM。 避免過多高階技術 → 移除 Knowledge Graph、Fine-tuning 作為必備條件，而改為加分項。 更重視實務