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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

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*

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

資料分析(領域資料洞悉、特徵選擇、資料前處理等) 機器學習或其他相關演算法開發, 維運 機器學習模型改善以及效能調校 開發以及部署高度可擴展的機器學習模型 使用資料整合平台(如AirFlow) 建立

動見科技從影像 AI 演算法開發到使用者網站平台，打造一個為商業車隊賦能的車隊管理服務，並逐步擴大服務面向。這套已經獲得國內外大型企業採用的解決方案正在尋求一位有經驗的AI模

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

NVIDIA is searching for a Director to setup and build a team of Software Engineers and Data Scientists to develop artificial intelligence (AI), computer vision and data analytics algorithms and applications for our Metropolis for Factories and Manufacturing platforms. Artificial Intelligence is transforming how we collect, inspect, and analyze different kinds of sensor data that impacts everything from manufacturing automation, warehouse management, product inspections to safety workflows. NVIDI

To transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning, and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region. 以人工智能雲端服務 (SaaS) 為核心， 幫助台灣產

This position is for candidates with a career plan towards being an AI Full Stack Engineer. You will work with AI researchers in academia, implement algorithms, build computer vision services, and develop core ML pipelines. As a member of the AI team, you will work with worldwide fellow AI engineers, including engineers in our New York, India, and Taiwan branches. The goal of the AI team is to continuously optimize our core algorithms for extended-body estimation

Research and evaluate different AI and Deep learning approaches to determine the most effective solutions for given problems Design AI and LLM system pipelines, leveraging libraries like PyTorch, SD, and LangChain (et al.) Build, train, evaluate, and optimize AI models using techniques like deep learning, reinforcement learning, computer vision, NLP, etc. Work closely with data engineers and analysts to implement models in production environments. Monitor and maintain AI systems in production, e