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利在公司內流動，被各所部門、同事、甚至終端使用。 « 在團隊中你需要負責的工作內容 » ✅ 建立並維運Data Pipeline(streaming & batch)： 資料是公司的血液，我們就是建立並維護血管通暢的人。 您需要與資料分析師/科學家

We are data team in EC LINE TW. First, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist

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

Superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our business team. We want people who innovate and love solving hard problems. Key responsibilities: - Fine tune and optimize LLM's - Building and maintaining data pipeline including data processing and data analytics - Developing and maintaining efficient and sca

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

We are looking for Senior Data Engineer to join our hedge fund and manage our data operations. You will be responsible for engaging with various data vendors, designing and implementing data pipelines, and ensuring data quality and security. You will also mentor other data engineers who support the data infrastructure and pipelines of the fund. Responsibilities: Engage with various data vendors to find the best data for the fund’s investment and trading activities Evaluate data quality

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