Develop and maintain the MyClass school-management service in Java, improve performance and features, and coordinate customisation or team reviews according to experience.
About this role
This role drives AI- and data-based digital transformation for Kubota Group’s environmental plant business, including wastewater treatment plants. The work focuses on advanced control and creating new value through data use. Responsibilities include analyzing and evaluating plant-operation data, developing AI-based operational control algorithms, and advancing systems from proof of concept through implementation for actual operations. The role is positioned at the core of data-utilization systems for optimizing and improving plant operations, rather than being limited to data visualization or monitoring.
Required qualifications include at least two years of practical experience in data analysis and machine learning using Python, and experience analyzing plant or manufacturing data. Candidates must also have either experience using a data-utilization platform such as Databricks or a cloud platform for analysis and implementation, or experience implementing a proof of concept or business system. Preferred experience includes developing AI-based control or optimization algorithms, and knowledge of reinforcement learning, mathematical optimization, or control engineering. Experience building MLOps or cloud-native systems is also welcomed, as are Databricks or Apache Spark certifications and cloud data-engineering or machine-learning certifications.
The role supports environmental plant operations and systems for water and environmental services. The employer provides environmental plant engineering, including design, construction, maintenance, and operation-related services for water treatment, sewage treatment, industrial wastewater, exhaust-gas treatment, and other facilities.
Work from home is available. employees are generally expected to come to the office once a week, although some duties require attendance and individual consultation is possible for work outside the Tokyo area or fully remote arrangements. The employment includes a six-month probationary period with no change in pay or treatment.
Employees are generally expected to come to the office once a week, although some duties require attendance and individual consultation is possible for work outside the Tokyo area or fully remote arrangements.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Develop AI solutions from PoC through production, building models, APIs and MLOps platforms. Translate business needs with consultants and support client adoption. Remote work is available.
Conduct research as an Audio-Visual AI Research Scientist Intern in Tokyo, focusing on artificial intelligence methods for audio and visual applications within Sony Group.
Define safety metrics for autonomous-driving systems and turn them into data requirements, pipelines, triage workflows, dashboards, and continuously updated safety cases.
Leads a five-person Backend team, managing engineers while shaping technical direction and development processes. Handles backend incidents and contributes hands-on to selected projects for a consumer AI conversation app.
Turn manufacturing-software prototypes into deployable products, own architecture and implementation, and build shared foundations using AI-assisted development.