MLOps/Machine Learning Engineer

Company Overview And Recruitment Background

Equmenopolis, founded in May 2022 as a spin-off from Waseda University's Conversational AI Media Research Group, is developing "LANGX," a natural conversation-based English learning experience platform that incorporates the latest generative AI-powered conversational agents.

LANGX has been officially introduced into Waseda University's English conversation classes from 2023. In March 2023, it was also the only finalist from East Asia to present at the "SXSW EDU Launch," an educational startup pitch competition at the global creative event SXSW (South by Southwest), gaining worldwide recognition.

With the expansion of our service, we are now recruiting teammates to innovate the future of language education together. Our team consists of members with diverse backgrounds, ranging from multimodal dialogue systems, natural language processing, second language acquisition, learning sciences, digital humans, quantum computing to media art. While the company's roots are in Tokyo, our team members come from various countries including Japan, the US, Wales, Spain, Poland, and Cambodia.

Main Responsibilities

The MLOps/Machine Learning Engineer will collaborate with research scientists to design and implement an MLOps platform that efficiently manages the machine learning model development cycle. This includes streamlining data collection and annotation, managing training and evaluation, and automating deployment and monitoring. The role also involves implementing lightweight and fast model inference. We value experience in designing, building, and implementing machine learning workflows, constructing CI/CD pipelines for stable machine learning model deployment, and designing and implementing machine learning APIs.

Required Qualifications And Skills

Practical experience in many of the following areas:

• Designing, building, and implementing machine learning workflows
• Building CI/CD pipelines for stable machine learning model deployment
• Practical experience in designing and implementing machine learning APIs
  
  

Communication And Management Abilities

• Japanese (professional level)
• Ability to actively communicate within and outside the team for smooth communication
• Capability to make proposals, engage in discussions, and execute projects in DevOps
• Ability to advance projects with schedule awareness

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• Ability to develop customer-first products
  
  

Preferred Experience And Achievements

• Practical experience with cloud services
• Specialized knowledge and implementation experience in AI
• Experience in learning English conversation
  
  

Employment Type

Full-time employee / Contract employee / Freelance

Work Location

3F, Green Computing Systems Research Center, 27 Waseda, Shinjuku-ku, Tokyo

Nearest station: 1-minute walk from "Waseda Station" on Tokyo Metro Tozai Line

Work Style

Hybrid

Salary

4,000,000 yen - 10,000,000 yen

Desired Start Date

From March 2025 onwards, as needed

Visa Sponsorship

Visa sponsorship available

Company Details

Headquarters

Entrepreneurship Center, 1-22-3 Nishi-Waseda, Shinjuku-ku, Tokyo

Research Lab

3F, Green Computing Systems Research Center, 27 Waseda, Shinjuku-ku, Tokyo

Established

May 2, 2022

CEO

Yoichi Matsuyama

Main Business

Development of conversational AI agent platforms and their applications

URL

https://www.equ.ai/en/

How to apply

Please enter "MLOps Engineer" in the job title field and apply through the application form below.