轉職熱搜工作

職責要求 1.制定資料分析策略、架構標準及規範 2.與業務部門合作以掌握業務分析需求及提出合適之資料獲取及處理建議 3.協助業務單位定義業務指標、評估資料分析洞察 4.依照企業級數據中台及數據治理方法，維持資料的一致性、有效性及即時性 5.產出資料分析報表與洞察，提供業務單位使用 6.進行指示型、預測型、診斷型與敍述型資料蒐集、整理、分析等相關任務 任職資格 1.具備產業知識或領域知識。 2.熟悉商業智慧(BI)系統分析並製作系統需求規格書文件;。 3.熟悉MS SQL架構、語法、調教；具資料清理SSIS及資料建模SSAS使用經驗尤佳。 4.熟悉Dashboard、Report設計。 5.有BI工具(如SAP BO/ Tableau/ MS PowerBI等)使用經驗尤佳。

職責要求 1.參與全球官網、學習中心流程規劃設計及MarTech導入，使用大數據分析洞察用戶行為，打造一流的學習服務 2.需求分析：採集用戶問題與需求，轉化為可執行的方案或需求文件 3.體驗規劃：與UI/UX密切合作，規劃設計最符合用戶體驗的流程與介面 4.專案管理：協調可用資源，安排專案時程，把關專案品質 5.團隊溝通：確保項目關係人了解專案進程與目標 任職資格 ▪ 3年以上軟體專案管理(Project Manager)經驗或資訊相關科系畢 (熟悉Jira尤佳) ▪ 3年以上商業流程及數據分析/規劃經驗 ▪ 繪製使用流程及產品原型 (熟悉Figma尤佳) ▪ 注重細節、能精準掌握專案進度 ▪ 具創意及邏輯思考，能有條理地提出自己的看法 ▪ 解決問題及獨立作業能力 ▪ 積極樂觀，迎難而上，能適應快速變動的工作步調 ▪ (加分) 良好英語溝通能力 ▪ (加分) 敏捷專案經驗（Agile)

職責要求 1.參與跨境CRM系統建置，整合Social Media(Line, Whatsapp, Facebook)，提升與用戶的連結，透過技術加速全球營運客服工作效率 2.需求分析：採集用戶問題與需求，轉化為可執行的方案或需求文件 3.體驗規劃：與UI/UX密切合作，規劃設計最符合用戶體驗的流程與介面 4.專案管理：協調可用資源，安排專案時程，把關專案品質 5.團隊溝通：確保項目關係人了解專案進程與目標 任職資格 ▪ 3年以上軟體專案管理(Project Manager)經驗或資訊相關科系畢 (熟悉Jira尤佳) ▪ 3年以上商業流程及數據分析/規劃經驗 ▪ 繪製使用流程及產品原型 (熟悉Figma尤佳) ▪ 注重細節、能精準掌握專案進度 ▪ 具創意及邏輯思考，能有條理地提出自己的看法 ▪ 解決問題及獨立作業能力 ▪ 積極樂觀，迎難而上，能適應快速變動的工作步調 ▪ (加分) 良好英語溝通能力 ▪ (加分) 敏捷專案經驗（Agile)

職責要求 1.參與跨境訂單金流設計，整合境外支付，負責 全球支付規劃 2.需求分析：採集用戶問題與需求，轉化為可執行的方案或需求文件 3.體驗規劃：與UI/UX密切合作，規劃設計最符合用戶體驗的流程與介面 4.專案管理：協調可用資源，安排專案時程，把關專案品質 5.團隊溝通：確保項目關係人了解專案進程與目標 任職資格 ▪ 3年以上軟體專案管理(Project Manager)經驗或資訊相關科系畢 (熟悉Jira尤佳) ▪ 3年以上商業流程及數據分析/規劃經驗 ▪ 繪製使用流程及產品原型 (熟悉Figma尤佳) ▪ 注重細節、能精準掌握專案進度 ▪ 具創意及邏輯思考，能有條理地提出自己的看法 ▪ 解決問題及獨立作業能力 ▪ 積極樂觀，迎難而上，能適應快速變動的工作步調 ▪ (加分) 良好英語溝通能力 ▪ (加分) 敏捷專案經驗（Agile)

職責要求 •Work cross-functionally with domain experts, technical sales, and product owners to architect AI-based solutions in technical and industrial applications. •Determine project scope, deliverables, and success criteria, and ensure they are sufficient to address client challenges and consistent with their expectations. •Lead client interactions during technical engagement, including project meetings, technical reviews, and solution demonstrations. •Perform EDA or other data science analysis to scope unstructured problems or messy data for tractable insights •Skilled in breaking down problems, documenting problem statements and estimating efforts •Mentor junior engineers, perform code reviews and document design decisions •Create web services/APIs for serving ML/AI model results. •Collaborate with the development team and ML engineers to build state-of-the-art models, test and validate new algorithms and integrate the algorithms with the existing frontend and backend systems. •Review and finalize deliverables to ensure high quality content consistent with client and company expectations 任職資格 Qualifications and Skills •BS in Computer Science, Electrical Engineering or similar field •5+ years of experience with one modern language such as Java, C++, Python including object-oriented design. •5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to: oPyTorch, TensorFlow, Keras oCNN, LSTM, RNN oScikit-learn, pandas, numpy oOptimization techniques and fine-tuning models •3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. •Experience with MLOps and other production level implementation frameworks and pipelines •Able to work independently on problems and in highly collaborative team environments. •Experience with MLOps and other production level implementation frameworks and pipelines •Able to work independently on problems and in highly collaborative team environments. •Consulting, technical sales or solution architecture experience •Strong oral and verbal communication skills Preferred Requirements •Ph.D. or Master’s degree in a scientific or engineering domain •Experience of ML in Smart Manufacturing, Renewable Energy, Edge AI, Energy Storage, Grid Management, Semiconductor Manufacturing, or similar industries. •Research experience with high impact publications •Fluency with machine learning algorithms, such as CNN, RNN, reinforcement learning, support vector machines, and graph-based models •Experience with messaging systems, Docker, Kubernetes, Spark, EMR, and cloud platforms (AWS or Azure) •Team management and mentoring junior members •Experience with version control systems (e.g. Git flow) •Strong oral and verbal communication skills •Experience working with international cross-functional teams and/or customer facing work

職責要求 1. 負責收集、處理和分析大量數據，以提供業務洞察和決策支持。 2. 分析並視覺化數據，同時監控數據品質，確保分析結果的準確性和可靠性。 3. 使用統計和機器學習方法來分析數據並預測趨勢。 4. 緊密與各部門合作，將數據分析結果轉化為實際的商業策略和行動。 5. 撰寫並呈現數據分析報告，清晰地向非技術團隊解釋複雜的分析結果。 任職資格 【Qualifications】 1. 熟悉Python程式語言，包含Pandas, Numpy, Sklearn,Tensorflow, Pytorch等模組 2. 熟悉資料庫程式語言 SQL 3. 熟悉商業智慧軟體操作(Tableau、Power BI、Looker studio ) 【加分條件】 1. 具良好邏輯思考表達、解讀數據能力 2. 統計學專長 3. 有使用過GCP, AWS 等雲端服務經驗 4. 熟悉Linux 系統操作

職責要求 1.3年以上數據科學經驗。 2.熟悉機器學習或深度學習相關演算法。 3.具備統計分析與建模能力。 4.精通相關tensorflow、Keras、Pytorch等框架(擇一)。 5.具備專案管理能力，跨部門合作經驗。 任職資格 1.英文精通 2.大學以上，理工科系

職責要求 1. Responsible for the design, deployment, support, and continuous monitoring and alerting of manufacturing systems and network infrastructure 2. Drive scalable, highly available and performant service deployments for core functions on the line such as Active Directory, BitLocker, MySQL, Symmetric DS, AWS, and custom-built applications 3. Maintain all stations on the line: Troubleshooting, Break/Fix, Imaging and Replacement 4. Understand metrics for measuring success and performance of services to ensure service performance, scalability, stability and security for both existing and new service deployments. 5. Work closely with software and data engineering teams to ensure application environments and infrastructures are built and closely optimized for each other 6. Integrate security into all layers of the environment in order to protect sensitive data stored on systems at third party sites and in cloud environments 7. Ensure excellent support, stability and maximum uptime for manufacturing systems and network infrastructure across globally dispersed sites and cloud environments 8. Provide onsite support as assigned 9.Communicate timelines, service dependencies, resource constraints and progress with key stakeholders quickly and effectively 10.Domestic and International travel required: up to 20％. 任職資格 1. Bachelor’s degree in Technical degree 2. 5+ years of Linux and MySQL experience. (CentOS/Ubuntu). 3. 3+ years of scripting experience (Python, Docker, SNMP). 4. 3+ years of experience in configuration management (Chef, Puppet, SCCM). 5. Solid understanding of server hardware and sizing, hypervisor technologies (VMware ESX/ ESXi/ vSphere), and cross-platform integrations (i.e. heterogeneous operating system support) 6. Solid understanding of IDF server room design, requirements, operation 7. 3+ years of experience with networking principles, firewalls, load balancers 8. Basis English––-oral and written

職責要求 1.Participate in the design, implementation & optimization of large-scale distributed online AI services, including but not limited to recall engine, ranking engine, etc. 2.Collaborate with data scientists to develop and deploy machine learning training and inference pipeline. 3.Implement and optimize multiple application methods such as sample management, feature preprocessing, feature management, prediction, and vector based recall. 4.Ensure that systems perform reliably under the high load. This includes dealing with (but not limited to) online service, traffic scheduling, disaster tolerance, overload protection, degradation, resource management, efficiency tool implementation and many other infrastructures. 任職資格 1.Proficiency in C++/Java/golang/python programming 2.Solid basic knowledge of networking, operating systems, data structures. 3.Master NoSQL or SQL storage engine. 4.Experience in large-scale distributed system development is preferred 5.Experience with kubernetes and hadoop is preferred. 6.Familiarity with basic machine learning algorithms is preferred 7.擅長工具: C++、Java、Python、Go 8.工作技能 : Machine Learning、資料庫系統管理維護、資料庫程式設計、資料庫軟體應用

• 須熟悉python, 尤其是對pyspark操作有經驗 • 具備優化資料流和處理效率的專業知識，以及處理每日一億筆記錄的資料吞吐量的經驗 • AWS、GCP 等雲端平台的實務經驗 • 熟練開發強大的data pipeline，包括資料收集和 ETL（擷取、轉換、載入）流程 • 具備設計和實施資料平台各種元件的經驗，包括資料攝取、儲存、資料倉儲、資料編排 • 持續整合和持續部署（CI/CD）流程的經驗 • 熟悉 ML 相關知識 • 熟悉Python程式語言，以pyspark模組為主 • 熟悉Linux 系統操作 • 熟悉資料庫程式語言 SQL