[KKLab] Data Science/Machine Learning Intern

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Job Description

About KKLab:
KKLab is an innovation research and development solutions provider and venture builder.
● We design and engineer digital cloud transformation, system integration and technical infrastructure.
● We develop AI, machine learning and data management solutions.
●We innovate, incubate and accelerate new ventures and emerging technologies.
At KKLab, we believe today’s ideas are tomorrow’s reality.

About this position:
Working with research engineers and data scientists in different stages of AI solutions development, such as

  • Data ingestion/collection pipeline
  • Exploratory data analysis
  • Feature engineering
  • Model tuning
  • Model training pipeline
  • Restful service api

Working with research engineers and data scientists to apply machine learning techniques to rapid develop solution prototypes or generate feasibility reports.

**薪資範圍為參考,實際待遇會依面試狀況與工作內容安排與人選做更進一步討論**

Requirements

Experience Requirements:

  • Fluency in Python, R, Scala, Spark
  • Familiarity with basic exploratory data analysis techniques
  • Familiarity with feature engineering techniques
  • Working knowledge of machine learning models/algorithms such as regression, decision trees, boosting, and neural networks

Plus:

  • Experience in data visualization tools, such as re:dash, tableau, or Power BI
  • Experience in building data pipelines and workflows

Personal Invitation Link

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KKBOX Group

臺北市南港區三重路19之3號

About us

KKBOX Group 為亞洲領先的媒體科技集團,2005年在台灣推出全球第一家合法音樂串流服務KKBOX,並陸續拓展服務地區至日本、香港、新加坡及馬來西亞。以音樂娛樂與技術為公司核心,服務範疇跨足亞洲最具影響力聲音社群品牌的聲ㄧKKBOX、影音串流平台KKTV、娛樂藝文活動展演KKLIVE、行動售票平台KKTIX、文創投資theFARM、串流技術KKStream、雲端技術顧問KKLab等。

KKBOX Group is Asia’s leading media entertainment company. Started by a group of music loving Internet software developers, we built and launched one of the world’s first music streaming services in 2005. Based in Taipei, the heart of Chinese pop music, we gradually grew our business from Taiwan out to Hong Kong, Singapore, Malaysia and Japan. Ever curious towards reinvention and discovering new business models of the future, we have expanded our business scope from music and audio streaming to live events, technology services, content, investments and continue to explore reinvention through innovation in digital entertainment.

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