MLOps Engineer | Mobility Related Business

【About the company ...】

The company's mission is to "make people happy through mobility." and provides IT services that update the mobility industry, including cab apps and next-generation AI drive recording services.

▼Service List
■Cab App
This cab dispatch application was created by integrating "JapanTaxi" operated by Nihon Kotsu and "MOV" operated by DeNA. Although this application is based on MOV, it also allows users to request cab dispatch from cab companies that had partnered with JapanTaxi.

■Next Generation AI Drive Recording Service
AI-based drive recorder constantly analyzes driving. It automatically detects various risky driving behaviors that may cause accidents, such as looking aside or failing to stop for a moment, and leaves a video record of the accident. Based on AI-detected video and analysis data, specialized personnel dedicated to safety management will work with your company's team to help prevent driving accidents and improve operational efficiency.

■Cab App Corporate Services
In addition to cab ordering, the system includes corporate functions such as expense reimbursement. In addition to visualizing information on employee cab usage, the system also allows for more efficient expense reimbursement through invoice payment.
Areas covered will start from Tokyo, Osaka, Kyoto, Hyogo, Aichi and some other areas.

【 Job Description 】

【Job】
The MLOps Engineer will work with CV engineers and data scientists to develop and operate machine learning models and infrastructure. You will design, develop, and operate systems for machine learning applications using AWS/GCP and other cloud infrastructures. The company is working on building CI/ CD pipelines to deploy machine learning models more quickly and stably, and building applications and infrastructure to handle data efficiently. You will also be responsible for building the machine learning infrastructure to enable CV engineers and data scientists to develop models efficiently.

The company is looking for individuals who are able to execute solutions to project issues by utilizing their areas of expertise, even if they have no previous MLOps experience.

【Experience gained through this position】
・Experience in development and operation of overall components from system design and development to use as machine learning services, security, infrastructure considerations, and monitoring, utilizing cloud infrastructure such as AWS/GCP, etc.
・Experience in infrastructure development and operation for handling large scale GPS and other sensor data and image data in the TB class, and experience in mobility technology such as road network construction using GIS to increase the value of the data.
・Experience not only in ML pipeline development, but also in working with CV engineers and data scientists on architectural studies to address technical issues that arise when fulfilling service requirements, and in learning live know-how in the process of developing machine learning models.

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【 Working time 】

Flextime System

【Holidays】
・Saturdays, Sundays and National Holidays
・Paid leave (up to 10 days in the first year, depending on the month of employment * Granted on the date of employment)
・New Year vacations
・Celebration and condolence leave
・Nursing care leave (5 days per year per family member in need of nursing care)

【Welfare】
・Full social insurance
・Trial cab system (10,000 yen/month): Company pays for a ride to get to know the cab
・New Normal Allowance (3,000 yen/month)
・Welcome Lunch
・Subsidy for book purchases
・Participation in technical conferences (in Japan and abroad)
・Club activity system
・No dress code

【Required】
・Experience developing in Python/Go/Ruby (or able to catch up)
・3+ years of experience in server-side development and operation of web services
・Experience with cloud computing such as AWS and GCP
・Experience in batch design and development

【Preferred】
・Experience in building machine learning services and data infrastructure
・Experience in system design, development and operation for large-scale data
・Basic knowledge of machine learning/statistics
・Experience in development and operation of actual services using machine learning
・Knowledge of and strong interest in the latest trends in the machine learning field

【Ideal Applicants】
・Empathy with the evolution of the mobility field and its contribution to society, and the ability to commit to the service itself, not just the technology.
・Able to act on their own with a "broad perspective," a "medium- to long-term view," and "flexibility.
・Able to continuously improve required skills
・Able to communicate with others in a respectful manner