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大家好，我們是 Hububble，一家位於台灣的數位轉型顧問公司，專門代理 HubSpot 並推廣集客式行銷。 我們特別注重客戶的購買旅程以及後續需求，包括應用和維護，而網站不僅僅是提供資訊，而是能幫助公司增

UI/UX 前端設計 工程師 底薪 60,000 元 責任： 了解網站、APP需求 規劃網站、APP製作流程 設計完整的視覺辨識系統 製作 Wireframe, Mockup, 以及 Prototype HTML/CSS/JavaScript 前端程式撰寫 快速研究、學習新網頁科技及服務 與團隊有

【工作内容】 - Frontend development of our SaaS product. (coding based on the wireframe) - Collaborate with other engineers and a project manager. - Quality assurance of frontend code. ●開發我們的SaaS產品的前端（根據框架進行coding） ●與其他工程師和專案經理協作 ●前端的品質保證

The role requires the ability to evaluate and develop AI/ML technologies, especially in vision, acoustics and text domains. You will work on developing neural network models and data analytics to solve real-world problems. - Apply AI/ML technologies on problem formulation, model development, and deployment for use - Research and develop state-of-the-art AI/ML technologies - At least 5 years working experience in AI domain 這個工作需要評估

Maintain a positive attitude while leading a team of 3 in an efficient and productive manner. Anticipate energy sales associate needs using proper leadership techniques and proven problem-solving methods. Monitor top tier customer problems to ensure a high level of response time and proper problem resolutions. Deliver and secure profitable growth for a Business Division within a Sales Company in line with the Sales Company targets and objectives by utilizing the available human and capital resou

1. 樂於閱讀與分享 Computer Vision, Machine Learning Paper，並有能力掌握相關 Library 以 Python或 C/C++實作 2. 熟悉 TensorFlow 或 Pytorch 3. 熟悉 Python 及 C/C++ 4. 熟悉 OpenCV 開發經驗或不使用相關 Library亦能完成所需影像處理功能 5

1. Algorithm research and development 2. Documentation 3. Testing 4. Communicate with team member and fulfill software task *彈性上下班，新創團隊氣氛佳*

a. AI inference result processing for robust object recognition, inter-frame association, and tracking b. Scene recognition using AI inference with a statistical basis c. Algorithm writing with efficient, cross-platform code that is capable on edge devices

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use

Be responsible for managing our entire k8s-based infrastructure for MLOps.