Urgent

Data Engineer

株式会社アトラエ

  • AI
  • MLOps
  • DLOps
  • AIOps
  • BigQuery
  • Google Cloud
  • Python
  • SQL
  • R
  • GitHub
  • AWS
  • Google Colaboratory
  • MySQL
  • Looker Studio
  • Tableau
  • Slack
  • ClickUp
  • Ops
  • DS Team
  • ML Team
  • AI Team
  • Data Engineering
  • Data Science
  • Python Engineering
  • Cloud foundation
  • Remote Work
  • Social insurance
  • Health Check
  • Telecommuting
  • Selection Process
  • ⁨¥⁩⁨5,000,000⁩ - ⁨8,000,000⁩
  • Tokyo
  • Recruiting
  • 11 to 100

Company Info

At Atlae, we carry out business planning, development, and operation of People×Technology, and we are developing and exhibiting successful recruitment media 'Green', organization strengthening platform 'Wevox', and business matching app 'Yenta', among others. We are also actively engaged in business development.

Job Summary

In this position, you will be responsible for building and analyzing the foundation of data engineering, MLOps, DLOps, and AIOps. You will utilize technologies such as Python, SQL, BigQuery, and Google Colaboratory to develop the technical foundation of data engineering both technically and organizationally, and accumulate experience in data engineering for matching business objectives.

Duties

Support and expand the following three activities: analysis foundation, MLOps, DLOps, and AIOps foundation. Business analysis: Utilize KPI monitoring and exploration of causes of success, and propose statistical strategies. Machine learning: Improve the rate of MLOps and promote AI utilization such as LLM and FM, and improve the rate of experience in data engineering. *If you can handle the assigned responsibilities on your own, consider from the perspective of the company, and carry out comprehensive implementation from planning to effect measurement.

Requirements

Experience in team development of data engineering using GitHub, Technical leadership of one or more companies in Python engineering (knowledge of various best practices and insights into technological trends), and experience in the construction of Ops related to MLOps, DLOps, AIOps, and practical experience in operation.

Welcomed Skills

Experience in setting up cloud foundations such as AWS / Google Cloud / Azure and practical experience in operation, experience in team development of DS Team, ML Team, AI Team, and acquisition of a doctorate number in computer science, data science, or related department, and experience in research using data.

*Data presented in this article may be outdated. If you notice a discrepancy in our data, please notify us on our contact page, here following this link.

Data Engineer

株式会社アトラエ

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