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▋職務內容 1. 於雲端平台或本地端開發高速分散式爬蟲系統 2. 解析並收集多種網頁或平台的資料，包含但不限於：社群媒體、影音、新聞、論壇、部落格及內容網站等 3. 維持爬蟲系統運作，排

What You’ll Do Collaborate with the product team to define and implement key metrics using BigQuery, and work closely with other analysts to validate these metrics. Help teams directly with data to better acquire and retain customers, develop marketing strategies, inform related product decisions. Evaluate, develop, and build automated tracking of KPIs across the business, create in-depth analysis and dashboard. Build and maintain in-depth analysis, dashboards, and reports to monitor key perform

About the team When you join our Core Analytics Team, you will be part of a centralized analytics team, with all the benefits that entails: a world class peer group to support you, centrally maintained tools, career growth, and more. About the role Roku is looking for a Senior Business Intelligence Engineer (Sr. BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the

We're looking to expand our team of developers in the data platform team. As a part of our agile team, you'll be working with innovative tools, processes, and people to engineer web applications that are distributed and consumed on a massive scale. You are open to change and eager to work with tools and technologies that may be outside your comfort zone. You enjoy working in an open and collaborative environment. You express your

We're looking to expand our team of developers in the data platform team. As a part of our agile team, you'll be working with innovative tools, processes, and people to engineer web applications that are distributed and consumed on a massive scale. You are open to change and eager to work with tools and technologies that may be outside your comfort zone. You enjoy working in an open and collaborative environment. You express your

資料分析(領域資料洞悉、特徵選擇、資料前處理等) 機器學習或其他相關演算法開發, 維運 機器學習模型改善以及效能調校 開發以及部署高度可擴展的機器學習模型 使用資料整合平台(如AirFlow) 建立

【職責】 負責設計與實施 MLOps pipeline。 使用 Airflow 或其他工作流管理工具進行資料收集、清理、轉換，並將資料匯入資料倉儲。 協助建立和優化自動化的模型訓練、部署、監控流程。 整合 CI/CD 工具（如 Jenkins、GitLab CI）以支援

的資料分析工作。 2. 開發和維護機器學習或其他相關演算法。 3. 改進機器學習模型並進行效能調校。 4. 開發並部署高度可擴展的機器學習模型。 5. 使用資料整合平台（例如AirFlow）建立MLOps流程。