17LIVE 歡迎對以下工作內容有興趣的 機器學習工程師 加入我們的大家庭！

配合 17LIVE 快速的業務擴展，做為一位機器學習工程師，您將和來自不同國家（新加坡、印度、台灣）的多個敏捷團隊一起工作，透過機器學習來提供更好的內容及使用體驗給用戶。隨著我們不斷地推動技術發展，我們需要工程師能解決各種問題，能對新挑戰充滿熱情。在這裡，您會參與設計、開發、測試、部署、維護機器學習服務。具體來說，您將負責：

- 設計與實作大型、具備容錯能力的雲端服務基礎建設

- 和來自不同國家的研發團隊，包括資料科學家、工程師、產品經理、專案管理經理等，合作開發使用機器學習來解決各種商業問題

- 分析及增進各個子系統的效能、延展性、穩定性以應對大流量的線上環境

- 定期上線新的機器學習功能，為用戶帶來提供更好的使用體驗

如果您具備以下工作技能及工作經驗，請不要猶豫立即手刀提出申請： 

- 三年以上機器學習開發經驗

- 曾將機器學習服務佈署到中大型流量系統的經驗

- 優秀的分析和程式能力

- 思想開放，具備創造性思維

- 優秀的跨團隊協商能力

- 流暢的英語溝通能力

加分條件    

- 熟悉機器學習服務的開發流程及維運

- 熟悉以下任何一種程式語言：Python/C++/Scala/Go

- 有使用過分散式計算框架，例如Spark/Hadoop的經驗

- 有使用過深度學習框架，例如Tensorflow/Keras/Pytorch的經驗

- 曾有佈署機器學習服務到AWS或GCP上的經驗

- 具有調校SQL/NoSQL資料庫查詢效能的經驗

- 一年以上後端程式開發經驗

We are currently hiring for Machine Learning Engineer professionals that will take part in:

As a Machine Learning Engineer, you will work with several agile teams from different countries, such as the Singapore, India and Taiwan, to provide better content and experience to our users using machine learning. As our fast-paced business grows and evolves, we need our engineers to be versatile and passionate to tackle new problems as we continue to push the technology forward. You design, develop, test, deploy, maintain, and enhance machine learning service solutions. You will be in charge of:

- Design large scale, fault tolerant cloud based machine learning service infrastructure.

- Work with global dev teams, including data scientists, engineers, product managers and project managers, to solve business requirements by machine learning. 

- Analyze and improve efficiency, scalability, and stability of various system resources.

- Deploy new machine learning features to bring better experience to our users.

You will be highly considered if you have the following experience: 

- 3 years of experience in machine learning development

- Experienced deployment of machine learning service to production environment.

- Strong analytical and coding skills.

- Open minded, and creative thinking to create new ideas.

- Excellent cross-team communication skills.

- Fluent in English.

Good to have:

- Familiar with machine learning development and operations

- Familiar with one of the following programming languages: Python/C++/Scala/Go.

- Experience with distributed computing frameworks such as Spark/Haddop.

- Experience with deep learning frameworks such as Tensorflow/Keras/Pytorch.

- Experience with deploying machine learning services on AWS/GCP.

- Experience with optimizing database query to SQL/NoSQL databases.

- 1 years of experience in backend development.