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Job Description We are seeking a self-motivated intern to support our AI Research team in projects focused on Computer Vision, Deep Learning and Data Analytics, and contributing to new technology development in the area of business AI systems. This role is an exciting opportunity to test your knowledge in a problem solving environment with many well-known large companies. Please note that this internship only needs to work on the weekend (approximately 8-16 hours per week

Key Responsibilities : Process PIB & PEB in time for air freight Process import & export documents Process PIB & PEB according to customer requirements Check and prepare PIB & PEB drafts Ensure accuracy and on time license processing Update information of new regulations Process license/permit to external parties Update and inform any new regulations related to Customs process to internal parties Check and follow up any new process or inquiry from customers to external parties Coordinate Customs

【我們在找AI 智能客服或客服系統、企業資訊系統等軟體規劃設計、開發及介接整合等工作實務經驗的人才】 ※工作內容(視職缺而定)： AI 智能或客服應用方案程式設計、開發、測試、建置、維運 專案管理

• Become an expert in Expedera's AI SDK and achieve breakthroughs performance with real customer neural network workload • Work with Product Management and other Engineering • Expedera AI 加速器的軟體開發。 • 提供開發及效能分析工具，以協助客戶端的手機影像處理, 及自駕車應用開發。

職務說明： 1.開發可解釋、穩健且精準的電容器瑕疵檢測演算法及其驗證方法。 2.與工廠端溝通檢測需求，以設計設計檢測與標記規範以及資料收集與處理流程。 3.協助工廠建構可執行的

業即可： 網頁響應式設計 網站前端開發 網站後端開發 APP程式開發 Unity遊戲開發 視覺設計軟體 PS/AI 影像編輯軟體 AE/ PR/ FC 2.須擅長說明事理、口條清晰 3.須具備親切、有耐心等個性特質

微生物AI影像偵測與分類軟體產品開發︰ 1. 使用C#開發人機介面 2. 與演算法工程師合作，使用pyd檔整合演算法

1.演算法開發 2.數據分析、特徵擷取 3.AI建模、訓練與預測 4.前後台程式開發與部署

負責參與公司核心AI算法設計和研發，承接公司各產品演算法工作；規劃相關算法的技術路線； 負責搭建演算法架構，結合具體業務，實現視頻特效、色彩濾鏡、視頻圖像處理等演算法開發和最佳化

Google welcomes people with disabilities. Minimum qualifications: Bachelor's degree in Mechanical Engineering or equivalent practical experience. 5 years of experience in design, analysis, and structure analysis. Experience with FEA (Finite Element Analysis) software. Preferred qualifications: Experience with system design and shipping consumer electronic products (e.g., handheld, mobile consumer electronics devices). Experience in failure modeling of different classes of materials, adhesive, ru