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【公司簡介】 令客思科技是一家網站設計公司，除了提供客戶網站設計與建置服務之外還協助客戶透過AI系統進行分析，給予客戶網站或是產品優化的建議，我們在技術上不斷精進自己，並確保

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1 產品手冊管理 2 獨立舉辦或合辦之展覽、研討會等行銷活動規劃、舉辦及績效追蹤 3 行銷物製作、包含、DM、型錄、贈品….等等 4 客戶滿意度調查及客戶電訪計畫規劃與執行 5 主管交辦事項

職位標題：客戶服務主管 公司名稱：Lycodes Tech 工作地點：台北市 工作內容概述： 作為客戶服務主管，您將負責領導並管理客戶服務團隊，確保提供卓越的客戶體驗和解決方案。您將監督並協助處理客戶查

1.機器人自動化整合應用及周邊、夾治具規劃、設計與評估。 2.自動化設備整合開發專案執行。 3.設備現場組裝、試機、異常排除。

1.維護與開發控制器軟體。 2.應用控制器功能及協助客戶開發控制系統。 3.客戶教育訓練。

learn about solar energy and wish to introduce our superior solar products to clients in different parts of the world. If you think you have self-motivation, high execution ability, reliability, stability and practicality, then you are the person we are looking for! Come and join us! We offer basic salary plus sales bonus. Every quarter the sales bonus will be issued based on each closed sales. In addition, there are great benefits (lunch subsidy, birthday celeb

Tanggung jawab pekerjaan: Operator Produksi Percetakan bertanggung jawab atas pengoperasian sehari-hari mesin yang ditugaskan di area produksi. Ini termasuk set-up, operasi, penyesuaian, dan perawatan rutin mesin-mesin. Tugas: - Memantau dan menjalankan mesin yang ditugaskan untuk memastikan mesin berjalan dengan lancar dan kualitas produk memenuhi atau melampaui standar. - Membuat penyesuaian yang diperlukan untuk menjaga kualitas dan tingkat produksi sesuai dengan hasil yang diinginkan - Menyi

We are looking for a highly experienced and knowledgeable engineer to join our Audio Recognition Team and help to work with complex problems and improve our industry leading Audio Recognition system and additional supplementary back-end systems. You will be responsible for maintaining and improving our systems working with a complex stack of different languages & Architectures, ensuring that the system remains robust, up to date and constantly improving. There will also be significant scope with

We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well