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公司介紹 LnData專精於技術，透過創新的軟體服務平台與公正第三方的角色，成為串接品牌、媒體、代理商與消費者的關鍵數據樞紐，讓行銷計劃中的每一次曝光、觸及、與互動能完美呈現，以資料科學的

1. 設計/開發/維護大數據相關專案, 包含Data Warehouse管理, 負責資料建模、收集、存取與儲存等功能 2. 建立 Batch/Streaming ETL pipeline，並確保數據品質與正確性 4. 維護雲端大數據架構及服務 5. 理解使用者

Jubo 正在招募 Machine Learning Engineer 機器學習工程師 加入其位於台灣新北市、針對台灣本地市場的產品研發團隊。對於真正合適的人選，這會是可以與高速成長、並擁有廣大國際連結的科技公司合作的獨一無二

工作職責： 負責推薦系統和廣告變現相關的數據支持，包括但不限於數據報表平台、數據分析平台等 負責數據的自動化分析處理工作，對巨量數據進行挖掘，產出數據分布規律、變化趨勢、關聯關系

如果你還會金融業抱持本土金融保守的想法，是時候該改變對金融業的看法了! 有種企圖想要把新創的氛圍帶入金融業，透過技術與數據說話。恭喜您! 與您抱持同樣想法，國內外名校，想法開放的

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

【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 -

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

- 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