Designs and builds AI agents and data platforms that model management KPIs, forecast scenarios, gather external insights, and generate reports to support company decision-making.
Aisin is a Japanese manufacturer whose product range covers much of the vehicle, including transmissions and eAxles, brake and chassis systems, automated parking technology, door and roof systems, electronic controls and navigation. It supplies automakers and also sells replacement and maintenance products through the aftermarket.
Revenue comes mainly from manufacturing and selling automotive components and systems. Aisin also provides location-based mobility services and sells energy products, including residential fuel-cell cogeneration systems, while applying its manufacturing technologies to selected new businesses.
- Salary range
- ¥6.1M – ¥11.4M
- Median
- ¥6.1M – ¥11.4M
- Remote or hybrid
- 100%
- Most requested
- Machine learning 10
- AWS 8
- Azure 8
- Generative AI / LLM 8
- Python 8
- C++ 3
- Japanese posting, level unstated 10
- Common areas
- Data science 4
- Data engineering 1
Measured from the 10 listings Ranked has live for Aisin. Japanese level, visa signal and skills are AI-graded from each posting and can be wrong — confirm against the employer's original posting before applying.
10
open positions at Aisin
Develop AI combining causal analysis of HR data with generative AI to build causal models, predict initiative effects, and produce interpretable proposals.
Develop AI-agent and knowledge-platform tools that structure design knowledge for reviews. Build search, knowledge graphs, and AI document-review functions with Python.
Develop AI and computer-vision technologies for mobility products, including automated parking, occupant-state estimation, road anomaly detection, and behavior prediction for vehicle access.
Research neuromorphic AI for mobility, focusing on low-power AI chips, biomimetic sensing, time-series processing and robot-control AI, from experiments to implementation and evaluation.
Develop AI agents that evaluate the manufacturability of design drawings, extract drawing data, check manufacturing rules, compare past quality defects, and support design changes to improve manufacturing quality.
Build generative-AI tools for procurement quotations, including drawing-similarity search, feature extraction, past-estimate matching, and automated quotation support.
Designs and builds cloud-based MLOps environments and data platforms for AI development, including requirements, data modeling, system design, development, and remote coordination.
Develop generative-AI in-vehicle agents that interpret user intent from voice, text, and multimodal input, then connect conversations to vehicle controls and services.
Research and develop advanced AI for mobility machine perception, covering image recognition, multimodal generative AI and learning methods, then test, implement and evaluate new approaches.
