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We are seeking senior data engineers interested in developing a document intelligence service for professional workers, collaborating with our global RD, PM, and growth teams. The service leverages AI to assist professional workers in automating the processing of business documents. For instance, it can automatically scan professional documents, including contracts, financial documents, and medical records, and then extract relevant data for workflow automation.

We are seeking a highly skilled Java Engineer with expertise in cloud service development, low-latency and multi-threaded system design. As a Java Engineer, you will play a crucial role in designing, developing, and maintaining high-performance, scalable software solutions for our cloud-based services. You will work closely with cross-functional teams to understand requirements, implement efficient algorithms, and optimize system performance. This position offers an excellent opportunity to work

我們正在尋找一名資料工程師，加入我們不斷成長的團隊。 您將負責發掘、尋找、收集、清理和整理各種不同來源的資料。 建立和維護資料基礎設施，以供我們的數據團隊使用。 參與產品開發、維護與品

累積，已在公司內部建立了許多成功的案例及數據分析系統。 本團隊常用的專業能力包括: 大數據資料流的規劃與實作 平行化數據處理 NoSQL 資料庫應用 (HBase/MongoDB)以及SQL 資料庫應用 (MariaDB/PostgresSQL) Restful API開發

學歷需求: 資訊工程相關、統計學相關、電機電子工程相關之碩士、博士 執行AI技術開發專案。大數據分析與建模。 舉辦內部統計與數值分析的教育訓練。 新AI技術導入，並協助成熟專案橫向展開。 熟悉

我，大幅成長。 ୧༼ ヘ ᗜ ヘ ༽୨ 歡迎您一起加入，成為未來數據應用趨勢的一份子！o(〃'▽'〃)o 【Job Description】 1. 使用資料科學技術剖析數據，協助產品成效優化及發展方向 2. 負責資料收集、資料清理、模型建置等

1.負責營運數據的彙整、深入分析與應用。 2.計劃並實施有效的數據收集策略，確保數據品質與準確性。 3.使用專業工具進行數據挖掘，協助開發/維運 BI Dashboard，以提供決策支援。 4.製作具有

管理，保持預測效果與執行效能 5.透過論文與相關技術文件，精進相關技術 Must have : 1.熟悉完整資料分析流程，且具一年以上實作經驗 2.具資料分析領域相關經驗: 數據挖掘/機器學習/深

＊請至 【 https://mobagel.typeform.com/to/ojShbwVv 】 投遞履歷，於 104 投遞者恕不受理，謝謝你的協助＊ 1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain

We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using