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We are looking for a highly knowledgeable and enthusiastic machine learning engineer to help solve complex problems across a variety of audio processing projects. You will be both creating new solutions and evaluating existing machine learning (ML) processes, as well as performing statistical analysis to create and analyse large data sets. To ensure success as a machine learning engineer, you should be able to demonstrate solid data science knowledge and experience in a related ML role, as well

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

【公司簡介】 LSC Ecosystem (鄰近桃園機場捷運A7站) 的使命是在電動載具價值鏈上扮演關鍵領航者，你想對產業發揮自己的影響力嗎？在這裡你能夠有機會在電動載具的產業裡，串連軟體與硬體、協助傳統

- Develop data records management processes and policies - Identify areas to increase efficiency and automation of processes - Set up and maintain automated data processes - Identify, evaluate and implement external services and tools to support data validation and cleansing - Produce and track key performance indicators of all digital channels (paid, owned, earned media) - Creating dashboards, data visualizations, and campaign and website performance reports. - Monitor and audit data quality -

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

1.AWS S3資料的維護與管控 2.資料傳輸給annotator執行標記任務 3.資料清理過濾 4.撰寫Python script以簡化資料相關前處理流程

數據平台框架並與專案成員協同架構平台 研究數據治理並導入數據中台 需要具備： 兩年以上數據平台開發經驗 熟悉任一ETL框架，MapReduce、Spark、Flink等 熟悉NoSql Database 熟悉DW框架，Hive或Presto等 熟悉Hadoop集群相關框架，

Job Responsibilities : A. Entering data from source documents within time limits B. Compiling, verifying accuracy and sorting information to prepare source data for computer entries. C. Reviewing data for deficiencies or errors, correcting any incompatibilities and checking outputs.

#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs