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Logo of 龍巖股份有限公司.
1.熟稔 Linux based OS以及CI/CD工具,管理調適優化與監控Kubernetes叢集,管理與建置CI/CD流程。 2.具備基本相關雲服務資安設定 3.熟悉監控日誌系統 (ELK、 Grafana, etc) 4.K8s 基本使用及管理 5.熟悉 CICD 軟
4万 ~ 7万 TWD / 月
不需负担管理责任
Logo of Fazz.
#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data
Jakarta Selatan, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia
需具备 4 年以上工作经验
不需负担管理责任
Logo of 動見科技 OmniEyes.
為主),並與演算法或Data團隊合作開發相關產品和應用 - 資料集分析、資料前處理、模型測試及驗證 - ML Ops模型訓練、佈署自動化 ◎《Our requirements for this role》◎ - CS/EE相關科系,有相關工作經驗者尤佳 - 精通 Python 程式語
Model Training and Analysis
Python
AI
106台灣台北市大安區
经常性薪资达 NT$40,000
需具备 2 年以上工作经验
不需负担管理责任
Logo of ASML Taiwan 台灣艾司摩爾.
Introduction to the job As a Data science engineer in CS Operational Excellence team, you will be part of the digital transformation journey within Customer Support OPS towards sustainable improvement in data automation, data visualization and systems applications with the aim of creating value and reducing wastes. You will provide support to the line organization and co-ordinate the necessary training and coaching to employees, including leadership teams, and build internal capabilities through
台灣台南市東區臺南
经常性薪资达 NT$40,000
不限年资
不需负担管理责任
Logo of MoBagel 行動貝果有限公司.
*請至 【 https://mobagel.typeform.com/to/ojShbwVv 】 投遞履歷,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
資料科學(ML-Ops/深度學習/強化學習)
110台灣台北市信義區
5.5万+ TWD / 月
需具备 1 年以上工作经验
不需负担管理责任

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