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We are data team in EC LINE TW. First, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist

Responsible for developing and implementing advanced analytics models to assess credit risk and make data-driven decisions. Develop and maintain predictive models for credit risk assessment using machine learning and statistical techniques. Analyze large datasets to identify trends, patterns, and insights related to credit risk. Collaborate with cross-functional teams to implement risk models into business processes. Lead and mentor a team of data scientists and analysts. Stay abreast of industr

勢和最新技術，提供有關睡眠健康領域的創新建議。 我們想要徵求以下的人才： AI/ML 工程師 (AI/Machine Learning Engineer): 負責設計和訓練聊天機器人的核心模型，並確保它能夠正確地回答用戶問題。 後端工程師

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

‧1年以上 Java、Java Spring framework程式設計與開發經驗 ‧1年以上 jQuery、JavaScript程式設計與開發 ‧熟悉MS SQL並具備資料庫設計能力 ‧具Oracle/IBM DB2相關經驗為佳 ‧具Restful API整合開發經驗為佳 ‧具Machine learning, Web socket, WEBRTC, Data Transmission Security等相關經

Application of statistics, Machine Learning, Data Mining, pattern recognition and other data analysis techniques to collect, explore, and extract insights from very large scale structured and unstructured data and summarize the results by data visualization tools to support fab operations.

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f

Google welcomes people with disabilities. The Cloud Technical Resident role is for applicants who can start in September 2024. Minimum qualifications: Bachelor's degree in relevant STEM field (e.g., Computer Science, Information Systems, Management Information Systems) or equivalent practical experience. Experience in Databases, Web Technologies, Machine Learning/AI, or Cloud Foundations (e.g., cloud computing, GCP, or similar) through certifications, internships, coursework, or relevant practic

者恕不受理，謝謝你的協助＊ 1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new an

透過各種客戶行為資料，利用機器學習 (Machine Learning) 和統計模型 (Statistical Modeling) 從海量數據 (Big Data) 中挖掘各式使用者行為和能付諸行動的洞見與觀察 (Actionable Insights)，協助集團相關業務單位數據應用建議，將其應用在電商/