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履歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Senior Data Scientist to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic decisions. We are looking for Data Engineer/Analyst to join this new and world-class data intelligence team. You'll collaborate with other Data Scientists, Data Engineers, and various domain-subject ex

- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative

立並維運Data Pipeline(streaming & batch)： 資料是公司的血液，我們就是建立並維護血管通暢的人。 您需要與資料分析師/科學家密切合作，根據需求來建立Data Pipeline，並確保管線正常運行。 ✅ 監控並維護資料品質： 資料界有

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

【工作內容】 1.負責開發和優化智能風控模型，提升風險識別和預測的準確性。 2.設計、開發、部署及優化機器學習模型，解決實際業務問題。 3.負責數據清洗、特徵工程以及模型評估和選擇。 4

【Responsibilities】 1. Create and maintain optimal data pipeline architecture, assemble large and complex datasets to meet functional/nonfunctional business requirements. 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc. 3. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry l

▸ 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

is developing the next-generation technologies that change how high-tech manufacturing works. We're looking for engineers and data scientists who are passionate about bringing new ideas from diverse areas and love working with complex data, finding insights, and presenting findings to peers, management, and internal customers.As a key member of a small and versatile team, you will design and implement machine learning algorithms that support TSMC R&D/Fab/Business/IT/

Here at iKala, we are developing new algorithm and data pipeline which powers business decision in marketing and in-house analytic platform. You will cowork with teams of working in Machine Learning, Data Acquisition, Data Scientist and Data Analysis to develop or optimize algorithm on large scale multi-modal data. 【What you will be doing】 1. Develop in house multilingual NLP models ( Chinese, English, Japanese ) 2. Tuning and optimize algorithm to handle large scale data ( > 10