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1.提供生機、有機飲食商品知識之分享&推廣。 2.提供顧客專業與親切的服務。 3.商品陳列、進補貨之管理。 4.門市環境整理。 5.收銀結帳。 6.吧台輕食餐點&飲品製作。

【培訓內容】 - 我們會提供家樂福各項品類的認識。 - 需要完成採購人員必備技巧以及實作。 - 熟悉家樂福採購準則。 - 在培訓中為您提供完整的採購課程和認證 - 完成培訓後，您將負責維護和發展與您所

Responsible for automotive business development and project P/L Strategic thinking and negotiation skill are required Team player and leading the team to fulfill customer’s need Able to reach win-win solutions between customer and organization Self-motivated personality and positive attitude toward high pressure

Understand business objectives of customers and eliciting requirements. Formulate real world problems into corresponding solvable abstract representations. Collect, process and cleanse raw data from a wide variety of sources. Evaluate the practicality of SOTA ML/DL algorithms and implement corresponding methods using real-world data. Test-Driven Development (TDD) throughout the development process. Integrate machine learning product into PEGAAi. Track product performance in the field and drive c

Familiar with C Familiar with computer architecture, HW and SW Understanding I2C/SPI bus Understanding Linux development environment

本團隊主要的工作是將海量數據進行收集與前置處理，提供後續LLM、機器學習、深度學習及統計分析等技術應用在AI產品、智能製造領域以及利用data-driven方式輔助企業決策。 在AI產品部分，運用收集

Drive overall business management process and play a hands-on role in driving the best results. Cultivating solid relationships with customers and win business awards to achieve revenue and profit targets. Responsible for repair business market and competition analysis, including market trend assessment and product benchmark, demand analysis and market dynamic report. Familiar with mobile, PC and wearable devices repair business market development and understand the market dynamics of key player

Survey AI-related papers and solutions. Understand and implement the-state-of-the-art AI approaches. Cooperate with cross-functional team members. Problem Solving Capability

負責WEB System前後端程式設計開發及維護(使用.Net MVC) 設計規劃資料庫 網站應用程式(WEB API)開發 Windows APP設計開發 (使用C#，C++，Python,....) 具備解決問題的能力，及良好團隊合作與溝通能力 協助專

Understanding business objectives of customers and eliciting requirements Formulating real world problems into corresponding solvable abstract representations Evaluating edge design that are feasible to deal with a given problem Developing and deploying intelligent edge product / machine learning into production Integrating intelligent edge automation / machine vision systems Tracking product performance in the field and driving continual performance improvements