Artificial Intelligence Engineer
株式会社資生堂
- Machine Learning
- MLOps
- Artificial Intelligence
- Data Analytics
- Testing
- Deployment
- UI/UX development
- Machine Learning Model Development
- Large-scale Data Management
- MLOps Design
- Pipeline Development
- Machine Learning and Data Analysis Infrastructure
- Design of Related DWH
- ETL Development on Google Cloud
- Machine Learning Application Development
- Data Processing Pipeline
- LLMOps Development
- ML Tool Application Development
- DWH Management
- CI/CD Experience
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Tokyo
-
1,001 to 10,000
Company Info
Shiseido is a global company that manufactures and sells cosmetics and chemical products. The company is engaged in data analytics and programming implementation for the creation of new value for business, as well as the utilization of data for strategic planning and statistical methods, and the application of machine learning algorithms.Job Summary
In recruiting positions, you will be responsible for tasks such as data analysis and interpretation, development and validation of machine learning models, design and construction of data processing Pipeline, design and construction of related DWH, tasks related to machine learning and data analysis infrastructure, and maintenance. You will be required to have the ability to think logically and have a broad understanding of data modeling and ETL development capabilities, as well as experience in large-scale data management, ETL development on Google Cloud, large-scale data design, and machine learning application development.Duties
As an artificial intelligence engineer, you will mainly be responsible for tasks such as data analysis and interpretation (EDA), development and validation of machine learning models, design and construction of data processing Pipeline, design and construction of related DWH, tasks related to machine learning and data analysis infrastructure, and maintenance. In addition, experience in large-scale data design and ETL development, machine learning application development, testing, and continuous improvement, as well as experience in large-scale data ETL development on Google Cloud, design of large-scale data based on machine learning criteria, and experience in machine learning application development will be required.Login to see all information about offers.
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