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來！ 【職務說明】 1.大數據應用平台開發，建構以客戶為中心的數據平(中)台。 2.開發數據處理流程 Data Pipeline、ETL及數據(模型)流程自動化，發展自動化數據處理流程。 3.數據/模型服務 API 開發。 4.數據

公司介紹： 我們的客戶是一家領先的金融科技公司，致力於通過數位、數據和技術推動整體轉型。公司正在積極打造數據驅動文化，以成為提供卓越金融服務的科技公司為目標。公司環境開放創新

【邀請您將履歷同步上傳至華邦官方網站，將使您的履歷優先被主管看見】 此職缺履歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic

【Responsibilities】 Design, build, and maintain both frontend and backend components of our platform, with a focus on scalable and high-performance solutions that enhance the Patlytics user experience. Develop and optimize core backend services, the AI platform, and data pipelines, as well as contribute to frontend services that shape AI-driven patent workflows. Collaborate cross-functionally with engineers, product managers, designers, and other stakeholders to deliver new features and products

【主要工作內容】 - 建立與維護 Data Pipeline，為 AI 訓練與報表分析，提供穩定且正確的資料內容。 - 善用 AI 與 Data 技術開發出有效的解決方案，以提升對應的流程效率或是操作體驗。 - 使用 AI 與 Data 相關知識與技術

COMMEET (https://commeet.co) 擴大徵才，歡迎有熱情之新夥伴加入我們的行列 [工作內容] 1 整理、標記數據，以確保數據的準確性與可靠性。 2 建立/維護/優化資料處理流程與架構(data pipeline)。 3 跟相關的stakeholder合作，解

誠徵習慣系統性分析問題，追求卓越程式碼品質，非常在意產品能解決客戶痛點的你加入我們！ 【主要工作內容】 1. 與 PM , Data Pipeline Engineer 協作，實作資料串接、讀取到前端網頁 / App 的 UI 呈現 ( 前後端皆使用 JavaScript

這過程中從整合跨雲異質數據源，到建置能萃取使用者洞察的數據儀表板（Dashboard），再到能改善體驗的機器學習應用，都是我們將會遇到的挑戰。我們期待您的加入！ 【職務內容】 1. 開發、維護並監控Data Pipeline

【Responsibilities】 Design, build, and maintain both frontend and backend components of our platform, with a focus on scalable and high-performance solutions that enhance the Patlytics user experience. Develop and optimize core backend services, the AI platform, and data pipelines, as well as contribute to frontend services that shape AI-driven patent workflows. Collaborate cross-functionally with engineers, product managers, designers, and other stakeholders to deliver new features and products

＊請至 【 https://mobagel.typeform.com/to/ojShbwVv 】 投遞履歷，謝謝你的協助＊ Job Function -Analyze and interpret large datasets using Pandas, NumPy, and Scikit-Learn -Develop and deploy predictive models to solve complex business problems -Optimize data pipelines and ETL processes for efficiency -Collaborate with engineering teams to integrate data science solutions into production systems Your Impact -Drive data-informed decision-making across the organization -Deliver insights