Smart Factory AI Development Engineer (Data Analysis)

Aisin

Python

AWS

About this role

This full-time role develops data platforms and MLOps environments for AI development related to smart factories, including anomaly detection, predictive detection, and causal analysis. Responsibilities include studying technical options, planning concepts and architectures, defining system requirements, data modeling, system design, and development. The work is primarily based on building on cloud PaaS, while also covering hybrid on-premises and cloud planning.

The position is part of the DS Department's Data Intelligence Office. The organization works on applying AI technology to product value creation, social contribution, and digital transformation. The team shares data-analysis technology, data synthesis, and MLOps technologies and environments internally, and works with internal and external partners. The broader development context includes smart-factory manufacturing process reform and AI-related work connected with autonomous driving and future mobility. Team members have backgrounds in automotive manufacturing, other manufacturing industries, IT, and software, and the role works closely with an AI research department.

Required qualifications are knowledge and experience with cloud platforms such as AWS, Azure, or GCP; experience building systems; knowledge of IoT; experience with data modeling; and experience in product development. Knowledge of machine learning and AI and experience applying them to real-world problems, communication skills with related departments, algorithm development experience, and experience building systems or coding with generative AI are welcomed.

Named technologies include Python, C++, JavaScript, TypeScript, and SQL; Windows and Linux; AWS; Databricks; infrastructure as code such as AWS CDK; and generative AI tools including GPT, Claude, and Gemini.

The role is based at the Daiba Development Center in Koto City, Tokyo. Members are located in Aichi, Tokyo, and Hakata, and collaborate through remote work environments. The role provides a work-from-home system and remote work. The first three months after joining are centered on OJT, after which the employee takes on the main duties.

The position is permanent.

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