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【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

1.AWS S3資料的維護與管控 2.資料傳輸給annotator執行標記任務 3.資料清理過濾 4.撰寫Python script以簡化資料相關前處理流程

1. 規劃並導入AI、大數據、邊緣運算數據架構及新技術，制定使用技術規範及標準作業流程，整體技術發展輪廓與藍圖。帶領及管理技術開發團隊。程式設計開發撰寫經驗至少4年以上。 2. 熟悉

- 分析誤攔或漏攔的電子郵件、URL 和附件。 - 針對電子郵件標題、結構和附件進行深入分析，以識別新的威脅特徵。 - 與團隊合作，提出檢測威脅的新方法。

數據工程師將負責開發包括ETL（數據提取，轉換，加載，集成等）在內的數據工程功能，並優化端到端分析工作流程，平台和商業化產品的源代碼。 工作職責： •在分析工作流程中設計，實施和優化數據工程

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs

數位轉型MarTech/SerTech/SaleTech、網路商城、公司內部服務等智慧功能開發

1. 主要以 Python 開發 2. 善用資料並採用不同的分析技術，建置預測模型 3. 參與過機器學習或深度學習專案

1. 熟悉熟Oracle SQL,(PL/SQL)執行資料轉換及驗證。 2.熟练使用DataStage、Informatica等相關開發經驗 3. 配合公司專案需求至客戶端駐點銀行服務。

- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative