【Dev】 MLOps engineer

Others Machine Learning, Deep Learning

About the company
This company is an AI venture founded in 2016.
Their mission is to support DX for all companies and organizations through AI-powered SaaS products.
AI structures text data that was previously difficult to analyze and converts it into valuable data. Utilizing internal and external text data, they support the transformation of an organization that truly faces customers.

Although the company has less than 60 employees, it scales three SaaS products at the same time.
A gathering of specialists in enterprise business, modern engineering and cutting-edge research.
The company aims to realize products that support the creation of new value for customers by enthusiastically discussing and fusing their knowledge while making the best use of their respective backgrounds.

<Technology stack>
[Programming language/Framework]
Ruby (Ruby on Rails), Python, Vue.js, Vuex, Flutter, Swift

RDS(Aurora/MySQL), DynamoDB, Elasticsearch

[Cloud services]
AWS EC2, Beanstalk, Batch, Cognito etc

[Other tool]
GitHub, Slack, JIRA, Datadog, miro, Figma etc
Corporate Culture
▼ Engineering
A diverse group of members who have experience in modern architecture design, web design, and app development in B2B and B2C, with a quest for cutting-edge technology and a perspective that constantly captures the latent needs of users.

▼ Business
Members with a background in technology, consulting, design, etc., who do not compromise on the complex challenges unique to the enterprise.

▼ Research
Members who continue to explore cutting-edge natural language processing machine learning, not only meeting the expectations for AI that have already become apparent, but also sticking to creating the future with technologies that lead to true customer value.
Global Aspects
  • Foreign employees already employed
Other details
  • Flex time system
  • Regular employee engagement survey
  • Structured On-boarding after you join the team
  • Values clearly defined
  • You can work from home
  • 360 degree evaluation system
  • No dress code
  • Evaluation system is established
  • Regular one-on-one
  • Flexible seating
  • Regular corporate event (once every month or more)
They aim to "totally replace data utilisation tasks" such as information gathering and document creation with natural language processing AI. To this end, they develop and provide 'open data research services' that collect all kinds of business data used in business operations from the web and use our unique natural language processing platform to accelerate the commercialisation and commercialisation of companies.

- Business data collection
- To provide the Open Data Research Service as a SaaS product, it is necessary to crawl many news and articles distributed on the web every day and convert them into data in a form that can be provided as a product. Therefore, data engineers work daily with the following two missions in mind: - To collect general-purpose articles from websites worldwide.
Search and develop technologies to collect and structure articles from websites worldwide in a generic way.
The data platform that all products can use is built.

《Their business》
- Business data collection
- Develop a general-purpose automatic search and collection system for web news in multiple domestic and international languages.
- Data platform development
Planning and actual development of data provision methods in collaboration with product teams and customer success.
- The development of a data platform for the general-purpose automatic search and collection of web news in multiple domestic and international languages.

《Current issues》
- The accuracy of extracting the title and body text from HTML is not high, which lowers the user search compliance rate.
- The accuracy of extraction deteriorates over time due to changes in the HTML structure of the crawling destination.

《Expected role》
The role is to develop a terabyte-scale business data platform that is the common system platform for all SaaS products of the company. The role will be to develop a terabyte-scale business data platform that is the common system platform for all of the company's SaaS products.

《Development environment》
[Programming language]
JavaScript (Node.js), Rust, Python

[Cloud services]
AWS (Aurora, DynamoDB, Lambda, SQS, Step Functions, Fargate, S3, OpenSearch)
GoogleCloud (GCE, BigQuery)

《Attractive points》
- The position is a great opportunity to work on cross-product platform development using more than 50 million news data.
- The position is the first one to be hired, so you can work at your own discretion.
- The position is the first position for a new hire, so you will have a lot of discretion.
- The position is a great opportunity to work with PdM and Customer Success in defining functional requirements for each product.
- The ability to plan and implement data engineering for product application in collaboration with the ML team.
- The ability to work on development based on interviews with end-users directly.

※Please note that the position is only for those who are currently residing in Japan only
① Experience in developing software using Python on the cloud
② Experience in one or more of the following:
・ Development/operation experience in batch processing and workflow handling of large-scale data such as machine learning
・ Experience in planning, designing, developing, and operating MLOps.
Japanese Level
  • Advanced
- Experience in developing and operating data infrastructure for in-house developed services for customers
- Extensive knowledge and work experience with serverless technologies
- Master's degree or PhD in a technical field related to computer science
Ideal candidate
・ Experience in developing and operating data infrastructure for client-facing, in-house developed services*/*
・ Wide knowledge and practical experience in serverless or MLOps*/*
・ Master's or Ph.D. degree in a field related to computer science*/*
・ Experience in leadership or similar positions, understanding business context, and proposing/implementing short-term strategies*/*
・ Experience in using and operating OpenSearch*/*
Annual Expected salary (Minimum)
Annual Expected salary (Maximum)
Transporation cost coverage
  • Covered based on Company's set policy
Work hours
10:00 - 19:00
  • Yes
  • End of Year and New Year Holiday
  • Golden Week
  • Saturday
  • National Holiday
  • Sunday
  • Worker’s Accident Compensation Insurance (労災保険)
  • Health Insurance (健康保険)
  • Unemployment Insurance (雇用保険)
  • Welfare Pension Insurance (厚生年金保険)
Remote Work
  • Full remote work