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工作職責： 1.負責一般文書資料處理及歸檔工作。 2.協助處理key 單等出貨排程工作。 3.協助業務處理料件出貨/訂單管理等事宜。 4. Sample 管理及分配。 5. 簡單零用金管理。 6. 郵局寄送資

易自動化服務平台與軟體服務開發之 UX 研究、UI 設計 徵選標準： Figma 有基礎能力，包括：variants、auto layout、 parent and child components 等 ※ 表現優異者，有機會晉升為 PO 成為 π 型人才，並轉為 Paid Intern / 正職人員（有開缺時） ※ 請注意：此為學

最佳Podcast以及Dating產品 ▶︎ 與產品、設計團隊合作持續交付系統功能 ▶︎ 撰寫優雅的前端程式碼以及設計簡單乾淨的Component ▶︎ 與團隊合作持續改善系統 ▶︎ 分析問題以及提出問題的解法並能夠獨立開發

零售 電商 生鮮 媒體 財經 工作內容 使用React.js 進行網頁前端開發 使用React Native 進行APP開發 搭建前端Component Library 與後端團隊緊密合作，整合後端服務 維護、優化產品前端運作與 bug 修復 鼓勵提出產品優化方

We devoted to helping customers leverage the value of artificial intelligence (AI) to solve business pain points. We continue to research and develop AI and data-driven intelligent analysis modules for multiple solutions, covering 3 major sub-fields of AI / ML including natural language processing, computer vision, and data science to empower customers embark on AI-driven decisions, respond to market changes faster and develop new business competencies. .

經驗 2. 熟悉 Relational Database，如: MSSQL、MySQL等 3. 能清楚讀懂各文檔之英文能力 加分條件: 1. 具備相關科系或開發經驗 2. 理解React Component Life Cycle 3. 有C# .NET經驗 4. 理解 API 常用之 Protocol，如: REST 5. 有 UI/ UX 概念

This position is for candidates with a career plan towards being an AI Full Stack Engineer. You will work with AI researchers in academia, implement algorithms, build computer vision services, and develop core ML pipelines. As a member of the AI team, you will work with worldwide fellow AI engineers, including engineers in our New York, India, and Taiwan branches. The goal of the AI team is to continuously optimize our core algorithms for extended-body estimation

The full-stack software engineer intern will be working with existing engineering team in the presentation layer of our web application. This role will work as a part of a team that works to deliver professional and engaging designs and user experiences. ## Key responsibilities - Working closely with the rest of the team to support on-going development of our service. - Development for customer-facing web application and necessary components from variety of medium displayed in

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

Looking for new raw materials that can be used based on the results of substitution. Sourcing raw materials needed by formulators and product development. Developing raw material characterization methods and validation. Search for raw materials related to supply issues. Carrying out trials in product development by carrying out physical and chemical analysis of the raw materials needed in the product composition.