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Updated 2025-04-15
Activated 2025-04-15

MLOps Engineer_Fully remote work
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This posting is managed by: bloomtech.inc
Company Name Company is not publicly visible
Job Type
bloomtech.inc
IT (Other) - Machine Learning/AI Engineer
IT (Hardware/Network) - DevOps/DevSecOps Engineer
Industry Telecommunications/Information Services
Location Asia Japan Tokyo Taito

Job Description ■Job Description
The MLOps Engineer will work with the Machine Learning Engineer to build, maintain, and operate the infrastructure that can continuously provide machine learning and data science models to the service. In addition, in order to utilize the data that Caddy has, we expect the MLOps Engineer to lead the construction of a pipeline for data collection and the promotion of data utilization.

The following are examples of work. Actual work is not limited to these. Work content after joining the company will be determined taking into consideration skills, expertise, experience, etc.

・Construction of API and Batch operating environment for inferring machine learning models, and deployment environment using CI/CD

・Implementation for improving site reliability including monitoring in production environment and performance tuning

・Development, maintenance, and operation of machine learning processing pipelines on Vertex and Argo Workflow

・Optimization of inference and learning platform costs

・Communicate with modeling and platform personnel and document the process

CADDi's MLOps engineers can not only gain experience in actual MLOps products, but also have a high tolerance for new challenges such as creating front-end demos and new ML models depending on their experience and interests, and this is an environment where you can broaden your technical range.
Company Info ■Recruitment Background
At CADDi, we are developing a data platform product for the manufacturing industry called "CADDi Drawer" with the mission of "unleashing the potential of the manufacturing industry."
Launched in 2022, "CADDi Drawer" uses various technologies such as machine learning to structure drawing data, which is said to be the most important data in the manufacturing industry, and links it with various information, making it possible to use it as an information asset. It is already being used by customers from major domestic manufacturers to processing companies, and is growing rapidly. From 2023, we will also start selling overseas (USA, Thailand, Vietnam), accelerating our global expansion.

In the future, we aim to achieve overall optimization beyond departments and companies by reproducing and consolidating manufacturing knowledge beyond drawings using technology.
In terms of development, there are many themes we would like to tackle, such as strengthening the functionality as a data platform, developing multiple new applications that run on the platform, and strengthening the foundation to withstand the exponentially increasing number of users and data volume.
We are looking for colleagues to work with us on product development that is difficult and challenging.
Working Hours Flextime system (core time 11:00~16:00)
Job
Requirements		 ＜Required skills＞
・Experience in developing and operating services using cloud services such as Google Cloud and AWS
・Basic knowledge of container technologies such as Docker
・Experience in team development and operation using Git and CI/CD
・Experience in application development using Python, Rust, Go, Java, Scala, Kotlin, C++, etc.
・Fluent business communication skills in Japanese
Ability to complete daily tasks in Japanese, including text communication and meetings
Example: Japanese Language Proficiency Test N1 level, about 3 years of work experience in a Japanese environment, etc.

＜Welcome skills＞
・Experience in developing machine learning pipelines using Vertex AI Pipeline, kubeflow, Apache Beam, Spark, etc.
・Development experience related to MLOps and SRE
・Experience in collaborating with ML Engineers to continuously improve and provide machine learning and data science models
・Development experience considering load and scalability in large-scale services
・Data Lake and Feature Experience building and operating a data-centric store, etc.

・Experience implementing measures to improve data quality in order to improve machine learning models

・Experience planning and promoting data utilization measures for both inside and outside the company using BigQuery and Redash

・Basic knowledge of algorithms related to machine learning, statistics, linear algebra, and computer science

<Desired personality>

・Someone who sympathizes with CADDY's mission of "unleashing the potential of the manufacturing industry"

・Someone who is eager to learn and challenge new technologies and things

・Someone who is eager to catch up on related technologies required for ML/MLOps

・Someone who can face essential issues and take action to solve them with a sense of ownership

・Someone who can carry out work through a positive attitude and constructive discussion in a rapidly changing and highly uncertain situation

・Someone who can communicate and discuss with respect for others, taking into consideration the other person's context and resolution
Japanese Level Business Level(JLPT Level 2 or N2)
Salary JPY - Japanese Yen JPY 7000K - JPY 12000K   
Other Salary
Description		 Social Insurance
Holidays Five-Day Workweek
Summer Holidays
Winter Holidays
Refresh Holidays
Paid Holidays
Job Contract
Period		 Full-time employment
Nearest Station Full remote work
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