CakeResume Job Search

公司介紹：運用人工智慧實現精準醫療的尖端， 公司致力於提供病理數位轉型及人工智慧輔助診斷之解決方案，公司宗旨為運用人工智慧實現精準醫療，讓深度學習落實臨床，提升醫療品質與一

Main fields of development are : Classify posts and accounts from 12 sm/fintech platforms covered in order to get nuanced sentiment (e.g. bullish bots or long-short FOMO) towards more than 20k assets (stocks, etf, crypto) Classify accounts by their professionalism and stance to certain market strategies

影像處理算法開發 熟悉C/C++/Python至少一種 至少熟悉一種常用的深度學習架構, 例如Caffe, TensorFlow, Pytorch等（Pytorch尤佳） 輕量級深度學習算法並嵌入各系統平台 IC硬體驗證及驅動程式編程 基於IC硬體的

1. 感測融合演算法設計開發 2. 研究與評估最新的感測融合演算法並將其實現於產品上 3. 分析現有資料，尋找提升產品效能的解決方案 **依學、經歷敘薪**

題及其他相關工作。 【希望你是:】 1.精通Python，可熟練使用資料分析和機器學習相關的package（例如：numpy, pandas, statsmodels, pytorch等）熟悉基本的統計模型及機器學習模型； 2. 熟悉台股交易規則，對量化交易有濃厚興趣，能自

1. Help develop computer vision, object tracking and deep learning algorithms for autonomous cars, industrial automation and automated optical inspection, real-time image processing, security camera and smart surveillance and localization. 2. Help address a variety of technical challenges in the areas of advanced optics, depth sensing, SLAM, sensor fusion, 3D reconstruction and human interaction in the form of hand/face/eye tracking 3. Conduct experiment with new or early stage algorithms. 4

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

理(preprocess)資料的經驗 2. 了解並有能力套用深度學習模型以分析與預測資料 3. 能自主學習生技相關知識，與團隊合作使Data Science發揮最大效用 【技能需求】 需熟悉Python、SQL、DNN (deep neural network) 加分項目：PyTorch、TensorFlow、GNN (graph neur

As a MLOps engineer, you will be responsible for designing, building, and maintaining production-grade machine learning pipelines, as well as sharing the best practice of MLOps to other team members. You will help deploy state of the art AI technology, build tools, and act as the bridge between application developers and machine learning research. You will have the opportunity to work on applications with millions of active users, as well as bring brand new applications to market

職類: 品管／品保工程師,可靠度工程師,軟體設計工程師 Main duties include: • Reads safety and quality standards and ensures they are met, with some aid from automated testing framework or checking tools. • Organizes test plans, creates test cases, specifies safety requirements, and collects relevant dataset. • Develops utilities or tools to automate the test procedure and visualize the experiment results. • Sets up and conducts software