1. 應用程式開發，整合人工智慧模型 2. 驗證整合模型後系統效能 3. 建立應用開發整合 pipeline 架構電機工程學類,電子工程學類,資訊工程學類

1. 區塊鏈系統架構及整合規劃 2. 帶領技術及應用開發人員 3. 掌握系統運行強健程度電機工程學類,電子工程學類,資訊工程學類

依個人資訊專長及技能，參與各項工作內容 1.模型維運：現行機器學習模型維護與優化 2.模型應用：與業務分析人員合作，開發機器學習模型，解決金融商業問題 3.創新應用：整合非結構化資料，運用機器學習模型，發想創新解決方案資訊工程學類,其他數學及統計學類,其他電算機學類

我們是一家30年的公司，目前正在籌備股票公開發行。服務對象著重於銀行、保險、電信業…等企業的應用開發。我們深信，技術唯有轉化成應用場景才能發揮最大的價值。 工作性質除了計畫性的產品發展之外，也包含了專案的短期衝刺。多元化的工作內容，確保你一定不會覺得工作無趣，同時也鼓勵大家學習新的技術，如果你有心向學，我們肯定不會讓你閒著。 辦公室位於重慶北路，鄰近捷運大橋頭站(就在樓下)，公共交通便利。大樓備有機車停車場，便利機車通勤，不用擔心上班找不到機車停車格。採開放空間設計，沒有高聳的隔板，環境寬敞明亮，無限提供免費咖啡喝到飽。另外還有台中、雲林辦公室，如果你家住中區或雲嘉南，也非常歡迎加入我們。 已經具備的能力固然重要，但我們更在意的是你未來的發展潛力，如果你有一絲絲興趣跟我們一起努力往前，請趕快與我們聯繫。 工作內容： • 主要工作為前後端程式設計及單元測試、設計文件撰寫。 • 主要的開發內容為：文本分析、數據分析、語音辨識...。 基本能力及特質: • 能獨立作業，主動積極並具良好溝通協調能力。 • 學習新知的熱誠、討論與分享知識者。 • 熟悉Web/API前後端開發架構。 • 至少一種語言開發經驗: Golang(GO)、TypeScript、Python佳。 • 至少一種資料庫使用經驗。 進階能力(可到職學習): • Linux應用程式開發與維護經驗。 • 俱備微服務開發經驗。 • MongoDB、Elasticsearch開發經驗。 • CI/CD觀念及使用經驗(Jenkins、Drone、GitlabCI）。 • K8S容器調度技術或經驗。 • 語意理解NLP、語音辨識。

Please apply here : https://grnh.se/ea85dbce1us We are on a mission to spark connections and bring people together. Dcard is a social media platform devoted to creating a safe and free environment for ever-flowing ideas and extraordinary stories. Garnering the trust of the younger generation, our service attracts millions of active users and up to 20 million unique visitors per month. We have substantial influence and high penetration amongst the youth of Taiwan, but our ambitions do not stop here. As a strong and emerging international company, we are on a mission to spark connections and bring people together. We continue to make impactful influence in the social media, advertising and e-commerce fields. Continuing our success in the Taiwan market, we are now expanding to Hong Kong, Japan, and the APAC market. As a Machine Learning Backend Engineer at Dcard, you will collaborate closely with product managers and developers to build products that matter and create tools that accelerate growth. Join our team of developers to build the social network of the next generation. We code in a fresh monolithic repository and ship code every few hours, and most importantly, we‘re never afraid of using new and bold approaches to conquer challenges. If you are ready to take the leap, join us in creating an experience that connects people all around the world. 【Why should you join Dcard】 Dcard‘s products have expanded from the card-pairing feature to community, e-commerce, and other services targeting university students and young people. We are building a rapidly growing and continuously expanding organization with a growth mindset. We are reaching out to the world, creating more opportunities and development in different fields, and we are not satisfied with the current boundaries. We need you to provide value to our users in more aspects of life! 【About the Dcard Engineering Team】 As a member of the Dcard Engineering Team, you will not only focus on feature development but also optimize the developer experience and architecture, and evaluate the adoption of new technologies. At Dcard, you will face many interesting challenges, working on high-traffic products, constantly adjusting and improving the existing architecture to provide smooth services to millions of users. We are - * Data Driven - Any analysis and decision-making within the team revolve around important metrics, and product development goals are based on OKRs to measure their value, ensuring that everyone is on the same track and moving towards the same goal. We value data-driven thinking over relying on intuition. * Fast-Paced - Working with a talented team, you will experience significant growth in both technical and collaborative abilities. The team operates at a fast pace, and we expect the product to move forward quickly. Consequently, we face daily challenges such as setting up an ad system to handle high traffic or ensuring real-time and fast data updates. * Process Optimization - The team pays great attention to the smoothness of processes and continuously thinks about how to collaborate more efficiently. We roll up our sleeves and directly change things that bother us, optimizing the development and life experiences as a whole. * Continuous Growth - In addition to regular study sessions, we learn about the projects undertaken by team members in different domains through Developer Sessions within the team. We also invite external members to share successful case studies or development processes from other teams. 【You will be involved in the team to】 * Collaborate with Machine Learning Engineers to deploy algorithms as user-accessible services. * Develop MLOps practices to enhance the development experience of machine learning algorithms. * Build machine learning-related ETL pipelines. * Collaborate with Data Engineers to develop and optimize data infrastructure. * Establish system monitoring mechanisms to improve service stability.

我們是一家領先的媒體公司，正在尋找一位具有3-5年經驗的熟練的高級數據工程師加入我們的活躍團隊。成功的候選人將在利用先進的雲計算技術將我們的舊有系統轉換為現代數據基礎設施的過程中發揮關鍵作用。 1. 理解並將業務需求轉化為支持長期解決方案的數據模型。 2. 開發，建構，測試和維護數據架構，例如數據庫和大型處理系統。 3. 將現有的舊系統遷移到現代數據基礎設施。 4. 利用先進的雲計算技術進行數據存儲，數據處理和分析。 5. 與數據科學家合作建立數據和模型管道。 6. 確保所有數據生命週期階段的數據完整性和質量。 7. 維護和優化數據管道，架構和數據集。數學統計學門,資訊科學學門,電算機學門

1. 作業流程與數位轉型專案的需求訪談、分析、規劃與建置 2. 使用 UiPath 開發RPA自動化流程, 並持續優化及維護 3. 協助系統上線、測試及問題排除

「台達研究院」成立於2013年，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。 本職缺主要工作內容包含但不限於: 1. 負責設計與開發影像相關之電腦視覺與機器學習技術 2. 協同開發、佈建和測試解決方案於應用場域 3. 依專案需求研讀機器學習技術於電腦視覺相關應用議題數學統計學門,電算機學門,工程學門

分析多元資料集、提取可用的數據洞察以及開發創新解決方案。與市場行銷、內容製作和技術等跨職能團隊密切合作。 • 運用分析工具及方法，分析成效並洞察經營機會。 • 利用包含內部以及外部(如Facebook Insights、YouTube Analytics和Instagram Insights等)平台資料，分析使用者行為、參與模式和內容表現。 • 開發和實施使用者活動標籤策略。 • 構建預測模型和機器學習演算法，優化社交媒體平臺上的受眾定位、廣告活動和內容推薦。 • 識別關鍵指標、關鍵績效指標和受眾細分策略。 • 設計和執行針對社交媒體平臺的A/B測試實驗。 • 構建和維護資料管道，確保社交媒體平臺上的資料完整性和準確性。 • 主動精進、學習行業趨勢、新興技術，並持續推動改進。電算機學門,資訊科學學門

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 研究、設計、改良與開發最佳化演算法，提供合適的解決方案和服務 2. 運用最佳化與人工智慧技術包括(但不限於以下):  模擬最佳化 Simulation-based Optimization  作業研究 Operations research  元啟發式演算法 Metaheuristic  強化學習 Reinforcement Learning 3. 涵蓋的應用問題包括(但不限於以下):  智能設計 Smart Design  路徑規劃 Path Planning  產能配置 Capacity Planning  生產排程 Production Scheduling  參數最佳化 Parameter Optimization 4. 跨功能與跨部門之溝通合作與專案管理數學統計學門,電算機學門,資訊管理學類

1. 金融商品評價業務: 協助金融商品交易系統之評價模型驗證與監控作業，以符合監理機關對於評價及風險管理之相關規定。 2. 企業評價業務: 協助企業評價方法或模型建置與驗證作業，專案融資財務模型建置與驗證，以及協助業務單位於企業評價議題的處理。 3. 風險管理系統或模型專案開發: 協助風險管理系統，如市場風險，信用風險，和資產負債管理之利率與流動性風險等的管理系統之模型開發及驗證。

「台達研究院」(Delta Research Center, DRC)成立於2013年，為台達集團總部研發單位，除致力於大數據分析及物聯網應用與解決方案的開發與整合，加速企業轉型成功，也積極與產官學研生態體系協作，以開放創新模式，創造多贏生態圈。2022年台達研究院進入下一階段，專注於研發台達下下世代(next-next-generation)產品或解決方案之前瞻技術。 在「台達研究院」之下，團隊專注在模擬最佳化、機器人演算法、數位孿生建模與應用，發展具商業價值的AI應用與解決方案。 本職缺主要工作內容: 1. 以機器學習、深度學習、統計與作業研究等技術，分析內外部客戶資料，提供合適的解決方案 2. 研究與開發人工智慧之演算法、應用和服務 3. 設計、協助及管理資料分析及最佳化專案、培訓等業務推動 4. 參與Smart Design, Smart Manufacturing/智慧製造, 節能最佳化等產業轉型專案。 你/妳將會應用資料分析技術於以下四個類別的問題 1. Video & Image Processing and Analytics □ 品質檢測 □ 視覺定位 □ 姿態辨識 2. Natural Language Processing and Knowledge Engineering □ 語意理解 □ 大型語言模型應用 □ 設計文件知識萃取 3. Time Series Analysis □ 設備機台數據分析 □ 電源產品數據分析 □ 節能數據分析 4. Operations Research □ 智能調機、路徑規劃、參數最佳化 □ 產能提升、工廠配置、物流優化 □ 產品設計優化數學統計學門,電算機學門,工程學門

We are on a mission to spark connections and bring people together. Dcard is a social media platform devoted to creating a safe and free environment for ever-flowing ideas and extraordinary stories. Garnering the trust of the younger generation, our service attracts millions of active users and up to 20 million unique visitors per month. We have substantial influence and high penetration amongst the youth of Taiwan, but our ambitions do not stop here. As a strong and emerging international company, we are on a mission to spark connections and bring people together. We continue to make impactful influence in the social media, advertising and e-commerce fields. Continuing our success in the Taiwan market, we are now expanding to Hong Kong, Japan, and the APAC market. As a Machine Learning Backend Engineer at Dcard, you will collaborate closely with product managers and developers to build products that matter and create tools that accelerate growth. Join our team of developers to build the social network of the next generation. We code in a fresh monolithic repository and ship code every few hours, and most importantly, we‘re never afraid of using new and bold approaches to conquer challenges. If you are ready to take the leap, join us in creating an experience that connects people all around the world! 【Why should you join Dcard?】 Dcard‘s products have expanded from the card-pairing feature to community, e-commerce, and other services targeting university students and young people. We are building a rapidly growing and continuously expanding organization with a growth mindset. We are reaching out to the world, creating more opportunities and development in different fields, and we are not satisfied with the current boundaries. We need you to provide value to our users in more aspects of life! 【About the Dcard Engineering Team】 As a member of the Dcard Engineering Team, you will not only focus on feature development but also optimize the developer experience and architecture, and evaluate the adoption of new technologies. At Dcard, you will face many interesting challenges, working on high-traffic products, constantly adjusting and improving the existing architecture to provide smooth services to millions of users. We are - * Data Driven - Any analysis and decision-making within the team revolve around important metrics, and product development goals are based on OKRs to measure their value, ensuring that everyone is on the same track and moving towards the same goal. We value data-driven thinking over relying on intuition. * Fast-Paced - Working with a talented team, you will experience significant growth in both technical and collaborative abilities. The team operates at a fast pace, and we expect the product to move forward quickly. Consequently, we face daily challenges such as setting up an ad system to handle high traffic or ensuring real-time and fast data updates. * Process Optimization - The team pays great attention to the smoothness of processes and continuously thinks about how to collaborate more efficiently. We roll up our sleeves and directly change things that bother us, optimizing the development and life experiences as a whole. * Continuous Growth - In addition to regular study sessions, we learn about the projects undertaken by team members in different domains through Developer Sessions within the team. We also invite external members to share successful case studies or development processes from other teams. 【You will be involved in the team to...】 * Develop and optimize foundational infrastructure for recommendation systems, such as databases, APIs, streaming services, and CDC-related services. * Establish system monitoring mechanisms to improve service stability. * Advance MLOps practices to enhance the development experience of machine learning algorithms. * Collaborate with Data Engineers to develop and optimize Data Infrastructure.

1. 作業流程與系統專案的需求訪談、分析、規劃、開發建置、測試 2. 協助系統上線及問題排除 3. 維護企業內部應用系統資訊工程學類,資訊管理學類,企業管理學類

1. 主要交易商品：期權/股票/利率／債券／匯率 2. 策略：開發、建構AI/量化交易策略財務金融學類,數學統計學門,資訊工程學類

1.對跨領域的技術進行整合應用，開發結合傳感技術與智慧演算法的智慧設備模組； 2.負責推動技術專案于生產線的順利應用規劃、設定專案目標、進行專案進度管管理； 3.台灣地區RD與廠區聯繫窗口，負責需求對接、與方案整合開發。 4.戶外機櫃系統組裝自動化技術支援與方案開發。 5.功能單位人力資源協調與配置。 6.負責部屬培育訓練與績效管理。 7.需出差亞洲國家電子工程學類,電機工程學類

「F22R-數位金融整合服務處」為大型專業金融交易系統整合與開發技術團隊，擁有完整金融交易系統領域知識，以及專業的跨平台技術整合與軟體開發能力，對新進同仁有完整的教育訓練及指導員制度，歡迎對金融領域有興趣，且對技術有熱情的朋友加入。 工作內容與技術需求 1. 軟體架構分析與設計 2. 系統功能分析與設計 3. 軟體開發與整合測試 4. 熟 C#、ASP.NET、Angular與 SQL Server 者佳 5. 具備金融交易系統開發經驗者佳

以數據思維角度出發，打造出零售產業運用之網頁設計。在這份工作你會大量與使用者、數據領域專家互動，將網頁前端與後端開發技術結合數據視覺化，創造並設計出吸引人的使用界面、開發功能完整的應用程式邏輯。歡迎不僅只想成為一位工程師，而對數據、跨團隊協作及解決技術挑戰有熱誠的人才，逐步成為企業內部客戶解決數位問題的專家！ 【工作內容】 1. 負責團隊數據系統的前後端開發。 2. 負責團隊數據系統的前後端修改、優化及更新工作。 3. 配合行銷及營運需求規劃、開發、修改使用者友善的UI/UX流程，提升使用者體驗。 4. 規劃執行軟體架構及模組之設計，並控管軟體設計進度。 5. 與數據工程師討論串接管理API/FTP。 6. 維護團隊系統管理與日常流程，支援使用者端問題排除，協助同仁正常作業。 7. 其他主管交辦事項。 【經驗需求】 1. 具有兩年以上前端架構的開發經驗。 2. 具有兩年以上後端架構的開發經驗。 3. 具有一年以上前後端分離架構的開發經驗。 4. 具有主流瀏覽器(IE、Chrome、Firefox、Safari)及行動裝置版面切版經驗者佳，注重介面細節及流暢度。 【技能需求】 ––前端技能 1. 熟悉 HTML5/CSS3/Java/JavaScript/JSON/Jquery/Bootstrap 等基礎知識。 2. 熟悉 Vu.js前端框架，及 jQuery 或 Bootstrap 相關元件運用。 3. 熟悉 RWD響應式網站技術。 4. 熟悉專案開發流程與版本控制經驗。 5. 熟悉 RESTful API 、MVC/MVT/MVVM、前後端分離、網路結構等相關概念。 ––後端技能 1. 熟悉 Python 語法與 Django Framework。 2. 熟悉 PostgreSQL。 3. 熟悉專案開發流程與版本控制經驗。 4. 熟悉 API 、MVC/MVT、前後端分離等相關概念。 5. Docker部屬經驗。 Approach web design from a data-driven perspective to create web solutions for the retail industry. In this role, you will heavily interact with users and data experts, combining front-end and back-end development with data visualization to create and design engaging user interfaces and develop feature-rich application logic. We welcome individuals who are not only interested in being engineers but also have a passion for data, cross-team collaboration, and solving technical challenges to become experts in solving digital problems for internal customers. 【Job Description】This position is part of the Data Center Team. 1. Responsible for front-end and back-end development of team data systems. 2. Responsible for modifying, optimizing, and updating the front-end and back-end of team data systems. 3. Collaborate with marketing and operational needs to plan, develop, and modify user-friendly UI/UX processes to enhance user experience. 4. Plan and execute software architecture and module design, and manage software design progress. 5. Discuss and manage API/FTP integration with data engineers. 6. Maintain team system management and daily processes, support user-side issue resolution, and assist colleagues in normal operations. 7. Other tasks assigned by the management. 【Experience】 1. Minimum of two years of front-end development experience. 2. Minimum of two years of back-end development experience. 3. Minimum of one year of experience in front-end and back-end separation architecture. 4. Experience with layout design for major browsers (IE, Chrome, Firefox, Safari) and mobile devices is a plus, with attention to interface details and smoothness. 【Skills】 ––Front-End Skills: 1. Proficiency in basic knowledge of HTML5/CSS3/Java/JavaScript/JSON/JQuery/Bootstrap. 2. Familiarity with front-end frameworks such as Vue.js and the use of jQuery or Bootstrap components. 3. Knowledge of responsive web design (RWD) techniques. 4. Familiarity with project development processes and version control. 5. Understanding of concepts such as RESTful API, MVC/MVT/MVVM, front-end and back-end separation, and network structures. ––Back-End Skills: 1. Proficiency in Python syntax and Django Framework. 2. Familiarity with PostgreSQL. 3. Familiarity with project development processes and version control. 4. Knowledge of concepts such as API, MVC/MVT, front-end and back-end separation. 5. Experience with Docker deployment.

1.具多項能力優先錄用 2.熟資料取得技術(ETL)-爬蟲技術/SQL語法/其他Python Library 3.熟資料預處理技術(EDA)-熟Python程式語言 4.資料視覺化(Data Visualization) 5.數據儀表板(DashBoard)建立-Power BI/Tableau 6.熟特徵工程(Feature Engineering)技術

協助客戶對數據系統進行技術評估，並設計數據驅動的企業路徑為宗旨。透過數據轉型創建技術、安全無虞的架構與設計藍圖，結合現代數據技術和雲端服務，展現數據價值。在這份工作你會接觸地端數據工程與雲端數據工程，著重於零售數據系統之穩定性。歡迎追求系統優化、效能精進有興趣之人才，與我們攜手打造貼近客戶運用之數據服務。 【工作內容】 1. 熟悉資料倉儲與數據湖概念，進行數據清洗、資料整備等相關數據轉換與整合。 2. 熟悉數據工程的ETL流程，處理數據開發、自動化、測試、監控、佈署等相關技術解決方案。 3. 維運和規劃大數據處理系統，以確保日常數據的運作品質之傳輸性、高效性和準確性。 4. 與infra團隊合作，檢視數據存儲和數據架構的設計和維護，以確保數據的安全性和可擴展性。 5. 與零售數據專家領域緊密合作，以確保數據分析的準確性和可靠度。 6. 數據系統囊括雲端與地端技術。 7. 其他主管交辦事項。 【經驗需求】 1. 具備兩年以上數據系統開發與維運管理經驗。 2. 具備兩年以上使用Python和數據庫管理（SQL和no-SQL）的經驗。 3. 具備大數據系統維運和機器學習工具（Scikit-learn、Pandas）的經驗。 4. 具備數據倉庫的設計和實踐經驗，如 SSIS、Analyzer、Redshift、BigQuery 等。 【技能需求】 1. 熟悉SQL/PostgreSQL/Stored Procedure使用與撰寫經驗。 2. 熟悉Python程式開發經驗。 3. 熟悉數據排程、處理、清洗、製作報表的實務經驗。 4. 熟習常用的 Open Source 工具實務經驗。 5. 擅長解決問題、除錯、故障排除，提出問題解決方案。 Assist clients in conducting technical assessments of data systems and design data-driven enterprise solutions. Create secure and modern architectures and design blueprints by leveraging data transformation and integrating modern data technologies and cloud services to unlock the value of data. In this role, you will work on both on-premises and cloud data engineering, with a focus on the stability of retail data systems. We welcome individuals who are passionate about system optimization and performance improvement, and who are interested in collaborating with us to build data services that align closely with customer needs. 【Job Description】This position is part of the Data Center Team. 1. Familiarity with data warehousing and data lake concepts for data cleaning, data preparation, and related data transformation and integration. 2. Familiarity with ETL (Extract, Transform, Load) processes in data engineering, covering data development, automation, testing, monitoring, deployment, and related technical solutions. 3. Maintenance and planning of big data processing systems to ensure the quality of daily data transmission, efficiency, and accuracy. 4. Collaboration with the infrastructure team to review data storage and data architecture design and maintenance to ensure data security and scalability. 5. Close collaboration with retail data experts to ensure the accuracy and reliability of data analysis. 6. Involvement in both on-premises and cloud technologies for data systems. 7. Other tasks assigned by the management. 【Experience】 1. Minimum of two years of experience in data system development and maintenance. 2. Minimum of two years of experience using Python and database management (SQL and NoSQL). 3. Experience in big data system maintenance and machine learning tools (Scikit-learn, Pandas). 4. Experience in data warehouse design and implementation, such as SSIS, Analyzer, Redshift, BigQuery, etc. 【Skills】 1. Proficiency in SQL/PostgreSQL/Stored Procedure usage and writing. 2. Proficiency in Python programming. 3. Practical experience in data scheduling, processing, cleaning, and report generation. 4. Proficiency in using common open-source tools with practical experience. 5. Strong problem-solving, debugging, and troubleshooting skills with the ability to propose solutions.資訊工程學類,資訊管理學類,其他數學及統計學類