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這過程中從整合跨雲異質數據源，到建置能萃取使用者洞察的數據儀表板（Dashboard），再到能改善體驗的機器學習應用，都是我們將會遇到的挑戰。我們期待您的加入！ 【職務內容】 1. 開發、維護並監控Data Pipeline

Core Responsibilities: • Development: Build, maintain, and optimize data pipelines and databases. Ensure data quality and efficiency. 開發：建立、維護及優化資料管道和資料庫。確保資料品質和效率。 • Maintenance: Monitor data systems, perform backups, and keep databases up-to-date and secure. 維護：監控資料系統，進行資料備份，保持資料庫更新

務的產品策略思維，打造用數據賦能零售業者的 SaaS 產品。 【實際接觸到的工作內容】 1. 與 Data & Martech 產品團隊的產品經理、 UX 設計師、前端 Frontend engineer、後端 Backend Engineer 等不同角色密切合作。 2. 打造 91APP 的各項 Data & Martech 產品

【工作內容】 與產品團隊和前後端工程團隊合作，確保資料品質與產出 創建與維護Data Infrastructure Data Pipeline & ETL/ELT Data Product開發與維護

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 decisions. We are looking for Data Engineer/Analyst to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

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

Infocast is looking for a data engineer to help optimize, expand, test, and maintain the data pipeline architecture across all of our databases and for our upcoming products. You will be working closely with our software engineers and data scientist to understand and implement database requirements, troubleshoot issues, and improve data reliability and quality. The ideal candidate should have a solid understanding (both theoretical and practical) of machine learning techniques, and be comfortabl

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 scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results

來！ 【職務說明】 1.大數據應用平台開發，建構以客戶為中心的數據平(中)台。 2.開發數據處理流程 Data Pipeline、ETL及數據(模型)流程自動化，發展自動化數據處理流程。 3.數據/模型服務 API 開發。 4.數據

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e