資料科學家 Data Scientist

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Job Description

與 AImazing 共同成長吧!:
* 擴展以及自我挑戰你的技術能力
* 近距離從事核心產品
* 一同目睹,經歷產品快速擴張到海外 (而不只侷限於台灣)
* 無層次結構(開放式溝通的文化)
* 小團隊,緊密合作
* 團隊平均年齡〜29歲。(活力十足!)
* 本公司適用國發會創業拔萃方案之【具創新能力之新創事業認定原則】,可聘請外籍人士

公司影片
2 分鐘了解公司產品: http://bit.ly/CR2minsintro
5 分鐘了解公司文化: http://bit.ly/CREmb5YT
5 分鐘不夠?: http://bit.ly/CRemb9YT

影片Q&A 系列 -
1)招聘工程師時注重的特質: http://bit.ly/CRfaqs3
2)為什麼在台灣設工程團隊以及面對的問題: http://bit.ly/CRfaqs2



需求背景

目前每天有大量收據上傳到伺服器,透過 OCR 將圖片收據轉換為文字,需要提升 OCR 工具辨識的準確性,以減少修正錯誤資料的頻率。另一方面,在將收據文本提取結構化數據 (例如金額、流水號、日期時間、購買品項等) 上,需仰賴大量人力的介入,且各個店家的收據格式也不盡相同。


Responsibilities:

  • Use machine learning techniques to enhance receipt image OCR model
  • Research, design and develop receipt data extraction model
  • Co-operate with backend and data team to drive real-time OCR and receipt data extraction model implementation
  • Improve scalability, efficiency and accuracy of models
  • Contribute to the full life cycle of machine learning models

Requirements


Required Qualifications:
 

  • Familiar with at least one programming language (eg. Python, R, etc.)
  • Experience in machine learning and deep learning
  • Experience in NLP, information extraction and text mining
  • Experience in image processing



Preferred Qualifications: 

  • 2+ years of experience in machine learning, deep learning, information extraction, image processing and OCR
  • Experience in successfully deploying algorithms and models to production systems with positive business impact



Other:

  • Autonomous
  • Teamwork
  • Honesty
  • Continuous learning
  • Self reflection



公司福利

  • 勞健保 / 勞退
  • 面議 (儘管提出來!)
  • 本公司適用國發會創業拔萃方案之【具創新能力之新創事業認定原則】,可聘請外籍人士

Personal Invitation Link

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AImazing

臺北市大安區建國南路一段 175 巷 27 號 3 樓

About us

AImazing 於 2015 年在新加坡成立,2016 年於台北設立研發中心,我們曾獲得新加坡金管會所頒發的 MAS Fintech Awards,入選 AppWorks #14 、UOB FinLab 和台灣資策會主辦的 FinTech Base。目前公司的業務涵蓋新加坡、馬來西亞及菲律賓市場,專注於數據導向型產品的開發,充分利用交易數據協助線下零售及餐飲業者創造價值。在 COVID-19 肆虐全球的背景下,公司業務非但不減,反而呈現快速增長的態勢,目前我們積極招募人才,邀請樂於團隊合作及跨國溝通的成員加入團隊。

看完 Q&A 影片,你將更了解我們喔!

Q&A

Team

江義凱

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