Urgent
Data Engineer
株式会社アトラエ
- Python
- AWS
- AI
- SQL
- GitHub
- MySQL
- BigQuery
- R
- Data Science
- Tableau
- MLOps
- Google Cloud
- Slack
- Data Engineering
- remote work
- Looker Studio
- Telecommuting
- Social insurance
- AIOps
- Health Check
- Google Colaboratory
- Cloud foundation
- ClickUp
- DLOps
- AI Team
- Python Engineering
- Ops
- DS Team
- ML Team
- Selection Process
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¥5,000,000 - 8,000,000
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Tokyo
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11 to 100
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Company Homepage
Company Info
At Atlae, we develop and operate business plans, development, and operations for People×Technology, and introduce successful reporting-type recruitment media 'Green', organization-oriented platform 'Wevox', and business version matching app 'Yenta', and more.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.