Data Engineer 資料工程師
瀏覽人數: 72
投遞人數: 1
若水國際股份有限公司 (【AI 數據服務事業部】)
全職
工作簡介
工作類型: 全職
經驗需求: 3 年以上
薪資範圍: 依能力經驗面議
刊登日期: 2019-02-24 22:30:34
有效期限: 2019-04-30
工作內容描述

若水AI數據服務團隊,致力於提供安全、快速及高品質的標注數據(ground truth datasets) 做為各式機器學習及AI應用。 我們以「挖掘世界潛在的智慧,為AI引擎提供高品質訓練數據」為願景,專注於開發一個針對電腦機器學習的數據優化平台,配建多元標註工具及完善品管系統,透過專業數據處理師的標註,讓電腦能精準學習,模擬人類所思所想,並做出決定。 
客戶類型涵蓋人臉辨識、電子商務,及新興的自動駕駛...等AI 服務商。在創辦人趨勢科技董事長張明正的全力支持下,我們加速模型學習,並為AI工程師與數據科學家帶來無限便利。 

You’re not just looking for a job, you’re looking for an innovative product where you can make a large impact. 

About the role: 
• Collaborate on estimates, database schemas, data pipeline and architectural decisions for human-in-the-loop tools. 
• Design and develop Data ETL and processing tools and data import/export with RESTful API for Flow data management platform. 
• Collaborate with teams to provide insightful data via reports or dashboard, to assist the whole team in objective and performance analysis 
• Keep the data from customers separated and secure across the cloud platform. 
• Coordinate user-feedback sessions and A/B testing to ensure that we are maximizing the quantity and integrity of the data. 
• Promote strong engineering principles including writing DRY code, test-driven development (unit, functional and end-to-end testing), code reviews, and continuous deployment.

 

Requirement: 
• 3+ years of applied software engineering experience (especially in startups). 
• BS or MS degree in Computer Science or related field. 
• Good knowledge of Computer science, like algorithm complexity analysis and data structures 
• Good English reading skills to evaluate and apply open source libraries and tools 
• Good knowledge and experience with git version control and software development flow 
• Good Knowledge about how to write and optimize SQL query 
• Familiar with a variety of database, including RDBMS and NoSQL 
• Experience developing backend APIs using any language and web frameworks. 
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 
• Experience deploying production-level code to a cloud environment such as AWS or GCP 
• Passion about Software Development and continually follow new innovations in the field. 
• Self-starter who has an aptitude for quickly learning and deploying the right language or tool for the job while adhering to fundamental best practices. 
• Ability to quickly ideate and build MVPs, knowing how to prioritize crucial vs. nice-to-have features and build a roadmap to an ever stronger end product. 

Nice to have: 
• Experience with Serverless back-end architecture or Microservice architecture design 
• Experience with Scrum/Agile development methodologies. 
• Experience with Elastic Stack 
• Experience with software testing and test automation tools 
• Experience with CI/CD tools like Jenkins or AWS CodeSuite 
• Experience with DevOps software deploy automation tools 
• Experience with infrastructure automation technologies like Docker and Kubernetes 
• Experience with or knowledge on digital image/sound processing 
• Experience with or knowledge on machine learning 
• Experience with big data tools: Hadoop, Spark, Kafka, etc. 
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. 
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.

104職缺連結:https://www.104.com.tw/job/?jobno=6gk2e&jobsource=



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