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Urgent

IoT Engineer

住友電気工業株式会社

  • Spark
  • AI
  • JAVA
  • IoT
  • Hadoop
  • Big data
  • OPC UA

In this position, you will be involved in the design and development of cloud systems that are closely integrated with AIoT devices, and you will be responsible for a wide range of tasks, including the development of edge computing and the analysis of sensor data. We are seeking individuals with expertise in technologies such as Python, Java, and various cloud services, as well as experience in team-based development.

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Natural Language Processing (NLP) Engineer

楽天グループ株式会社

  • Spark
  • Python
  • Linux
  • JAVA
  • C++
  • PyTorch
  • C
  • Hadoop
  • NLP
  • ML

Rakuten's Language Program uses NLP and ML technologies to automatically generate product catalogs, descriptions, and structuring information from images. We are looking for researchers with a strong research background in NLP fields, and a desire to participate in Language Program research and development, system architecture, and collaboration with other researchers, as well as presenting and participating in scientific conferences and academic discussions.

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Senior Manager, User Insights and Search Analytics

楽天グループ株式会社

  • Spark
  • SQL
  • Python
  • Machine Learning
  • Data Analysis
  • Data Science
  • Big data
  • E-Commerce
  • Recommendation
  • AB Testing

In this position, you will create metrics that best approximate user value, conduct volume forecasting, user analysis, and define and optimize product design trade-offs. In addition, you will also develop new modeling techniques and propose new tools. You will also be expected to collaborate with internal and external teams on search, recommendation, advertising product testing, exploration, and recommendation.

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Backend Engineer (ML/AI field)

LINEヤフー株式会社

  • Spark
  • Python
  • Docker
  • JAVA
  • Kubernetes
  • Go
  • PyTorch
  • TensorFlow
  • Hadoop
  • MPI

In the position of Backend Engineer (ML/AI field), we are looking for a wide range of business tasks such as the development and operation of large-scale machine learning systems and platforms, and the use of machine learning peripheral systems. We use development languages such as Python, Go, Java, and ML libraries such as TensorFlow and PyTorch, and we are looking for experience in large-scale data implementation and performance evaluation of platforms and frameworks.

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