Job Description

* Create and maintain optimal data pipeline architecture,
* Assemble large, complex image data sets that meet functional / non-functional business requirements.
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
* Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL.
* Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
* Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
* Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
* Work with algorithm experts to strive for greater functionality in our data systems.

Requirements

* Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. * Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. * Strong analytic skills related to working with unstructured datasets. * Build processes supporting data transformation, data structures, metadata, dependency and workload management. * Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. * Strong project management and organizational skills. * Experience supporting and working with cross-functional teams in a dynamic environment. * should also have experience using the following software/tools: * Experience with relational SQL and NoSQL databases, including Postgres. * Experience with object-oriented/object function scripting languages such as Python. * (plus) familiar with image processing, computer vision algorithm, deep learning algorithm.

Salary

60K ~ 90K TWD/month

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Viscovery 創意引晴股份有限公司

台北市松山區南京東路五段92號11F

About us

Viscovery (Visual Discovery) 成立於2013年,專注電腦視覺與深度學習的「VisionAI」技術,協助各垂直領域的領頭羊企業導入各式 AI 解決方案,是亞洲視覺辨識技術與影音大數據的領航公司。 Viscovery 透過自行開發專利算法,自動分析並標籤大量的圖片與影片,將圖片與影片中視覺內容轉化成結構化、多維度、含有高度商業價值的 Visual Big Data (視覺大數據)。至今已累積超過千萬級別商品資料庫,完成超過億次等級自動標籤辨識請求,同時實現毫秒級別的辨識速度與精準度。VisionAI 服務廣泛應用於電子商務、智慧零售、媒體廣告、工業4.0等領域。「電子商務」應用有商品辨識、以圖搜圖、個人化推薦、快速回購、客戶服務等;「智慧零售」則含括人臉辨識、商品辨識、互動廣告、和自助結賬等;「視頻媒體」則運用於內容推薦、自動標籤、片庫管理、智慧剪輯、和內容過濾等;「工業4.0」應用在機器人協作、AR工具協作、廠區監控、和品質控管等。Viscovery 亦提供各式客製化的視覺辨識服務,為客戶打造隱密和適用的專屬辨識引擎。 Viscovery 研發中心設立於台北,由海外和台灣人工智慧、電腦視覺、深度學習、大數據領域的學術工程專家組成,並與美國頂尖大學AI實驗室進行產學合作。我們誠摯邀請同樣富有熱情、創造力、與專業力的夥伴加入,一同實踐立足亞太、放眼全球的技術願景與抱負!(www.viscovery.com)

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Team

許雅婷

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