AICS_Software Engineer - Big Data

Job Description

  1. Work with team members to develop and implement AI algorithms.
  2. Master data analysis and other data science technologies to understand data and design a scalable data pipeline architecture.
  3. Work closely with data to optimize data systems and pipeline architecture. Design and build the infrastructure for data extraction, preparation, and loading of data from a variety of sources using technology.
  4. Identify and select the latest AI/ML technologies to solve problems.
  5. Deploy and integrate AI ​​models into back-end servers and build up front-end interfaces (webApp or APP).
  6. Collaborate with other departments to effectively use internal/external big data.
  7. Aggressively attend training courses, learn state-of-the-art technologies and study the latest top research papers.

Requirements

Qualifications:
  1. Master’s degree in Computer Science, Engineering, or Statistics.
  2. Can quickly master a new programming language.
  3. At least 1-year experience in Python development.
  4. At least 1-year experience in AI development or Data engineering.

Preferred Qualifications:
  1. Passionate about researching AI, familiar with AI/ML technologies.
  2. Experience in Kaggle competition and fine-tuning Machine Learning models.
  3. Engineering, Statistical, or Applied mathematical background.
  4. Familiar with Data Engineering tools on GCP/AWS/Azure/Aliyun, etc.
  5. Familiar with VM/Docker.

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Asus 華碩電腦股份有限公司

臺北市北投區立德路15號

About us

華碩為美國《財富》雜誌評比「世界最受推崇企業之一」,並榮登美國《富比士》雜誌「全球最受信賴企業排行榜」及英國《路透社》「全球科技100強」。產品類別橫跨主機板、顯示卡、筆記型電腦、智慧手機、螢幕、路由器及全方位的科技產品解決方案,並積極拓展電競產品及開創AIOT新領域的各種應用。華碩致力追尋無與倫比的科技創新,為全球使用者創造體貼人心的智慧生活與無所不在的幸福感,以成為數位新世代備受推崇的科技創新領導企業為品牌願景。華碩擁有世界級研發菁英超過5,000人,產品行銷全球70多個國家,年營業額超過100億美元,每年獲獎數眾多,2018年平均每日獲得超過11個獎項,產品創新、設計及品質皆備受全球市場肯定。

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