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兼職人員 職務描述 1. 開店前前置準備食材配料作業。 2. 點餐、結帳、收銀之工作。 3. 盛裝配料、製作餐點。 4. 維持外場食材配料充足。 5. 聯繫內外場之工作。 6. 清洗餐具與清潔整理環境。 7

1. 擔任美妝、健康食品企業的業務窗口 2. 配合媒體擬定及商品特色進行企劃發想及廣告素材的提案 3. 媒體資源開發聯絡 4. 廣告製作發想 5. 門市店鋪開發交涉溝通 6.日籍主管

誠徵知名養身商品檔期銷售人員 上班檔期：10/22(週五)、10/23(週六)、10/24(週日)、11/6(週六)、11/7(週日)、11/8(週一)(需能配合完整檔期在報名) 上班地點： 全國電子南京松江門市 地址:台北市中山

** 後端工作內容： 1. 系統架構規劃與設計 2. 資料庫架構設計、維護 3. API 開發、維護、串接

- Manage all aspects of internal accounting tasks of our main Taiwanese company and its US subsidiaries, including bank transfer between entities, bookkeeping, and tax coordination with our tax advising partners - Assist in the management and organization of the CEOs calendar by scheduling appointments, meetings, engagements, and daily activities, including sometimes running errands. - Manage and coordinate travel for both business and personal arrangements - All the above tasks will be done rem

🌄 2019 永續報告分析計畫 研究員招募開始啦！ 📍 你想成為專業的綠領人才嗎？ 🤝 你想要迅速累積CSR領域的人脈嗎？ ✔ 你有深入了解企業如何執行CSR的渴望嗎？ 那麼千萬別錯過這個一展身手的好機

新北市五股區五工二路居家醫療器材大廠 歡迎日領週領月領 職務類別 : 作業員 工作內容 : 協助備料/運料/放料 業種屬性 : 居加醫療器材產品 ▼ 日班: 0750-1710 ▼ 用餐時間: 1200-1300 ▼ 間休時間: 0950-1000 , 1450-1500

想成為三頭六臂的AI科學家!? 邀請你加入Red Pill Lab，與有豐富經驗的AI團隊運用我們強大之DL運算資源，共同打造次世代之AI驅動虛擬角色技術。 * Architect and develop backend AI-related real-time applications based on given specifications. * Break down feature specifications into smaller tasks

【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Engineer at Mlytics, you will play a pivotal role in designing, developing, and maintaining data solutions that power our data-driven initiatives. Leveraging your expertise in Python programming, database management, and cloud architecture, you will be responsible for building robust data pipelines, optimizing data processes, and developing RESTful APIs to enable seamless data access and integration. Collaborating closely with analysts, f

《Responsibilities》 We are looking for technical experts in cloud service provisioning, operating and managing distributed application systems on mainstream cloud providers such as AWS, GCP, Azure, Aliyun. You are responsible for: ● Deploying, managing, and operating scalable, highly available, and fault tolerant systems ● Migrating an existing on-premises application to cloud ● Implementing and controlling the flow of data to and from cloud ● Selecting the appropriate cloud service based on comp