Lead AI and DX projects as a project manager by organizing requirements, managing progress and issues, negotiating with clients, preparing materials, and coordinating teams of 3–10 members.
Ridge-i is a Japanese technology group that develops custom AI systems and helps organizations apply data to business and public-sector operations. Its services span AI strategy, system development, MLOps, generative AI, data infrastructure and analytics, plus satellite-image analysis for companies, government agencies and research institutions.
The group earns revenue from consulting and development projects, operation and maintenance, licensing, and digital marketing and content production. Its AI work combines technologies such as large language models, image analysis and mathematical optimization, while its digital marketing business supports brands through social-media campaigns, creator networks and content production.
- Salary range
- ¥3.6M – ¥60M
- Median
- ¥6M – ¥10M
- Remote or hybrid
- 95%
- Most requested
- Machine learning 16
- Generative AI / LLM 15
- Python 12
- AWS 9
- Azure 9
- Google Cloud 9
- JLPT N1 2
- Native Japanese 6
- Japanese posting, level unstated 11
- Common areas
- Data science 5
- Project management 4
- Consulting & strategy 3
- HR & recruiting 2
Measured from the 19 listings Ranked has live for Ridge-i. 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.
19
open positions at Ridge-i
Lead AI strategy and business-model transformation for major enterprises, align C-suite stakeholders, design AI CoEs, and guide strategy through implementation with executive leadership.
Lead AI-based solutions for clients from identifying management issues through architecture, project delivery, impact measurement and operational adoption. Collaborate with AI and engineering specialists across industries.
Design, develop, evaluate, and deploy AI models and production systems for security and intelligence projects, using Python, cloud platforms, containers, IaC, and CI/CD with customers.
Build customer-specific AI agent applications from frontend to backend, covering requirements, UI design, APIs, LLM integration, deployment, monitoring, and continuous improvement. The role requires 3+ years of web application experience, cloud development, and Japanese native-level ability.
Advise enterprise clients on AI/DX challenges, select technologies, design solutions, and coordinate engineers and researchers through project delivery and business impact.
Design and lead implementation of production AI-agent solutions using generative AI and LLMs. Develop TypeScript or Python applications, RAG systems, workflow integrations and LLMOps platforms for customer projects.
Lead AI development projects from planning through delivery, coordinating clients and teams while providing technical guidance. Define requirements, manage schedules and resources, propose AI systems, and support design, development, testing, deployment, and operations.
Define customer challenges for AI solutions, shape requirements and system architectures, and drive projects from prototypes through production and operational adoption. The role works with government agencies and partners on GEOINT, satellite imagery, secure environments, and AI systems.
Design, implement, and evaluate machine-learning solutions for client challenges, discuss progress, and help deliver AI projects using Python, cloud platforms, Git, Docker, and Terraform.
Develop and test AI systems using statistical and machine-learning methods for client challenges. Report progress and work with solution architects in a Tokyo role with remote work.
Lead mid-career and graduate recruiting, shaping hiring plans, channels, selection processes, events, and recruitment data while supporting broader HR and organizational development.
Develop AI applications and satellite-data solutions by researching customer needs, selecting methods, implementing systems, and leading delivery. The role uses Python, cloud platforms, GitHub Actions, Docker, Terraform, and AWS CDK.
Manage broad corporate functions including recruitment, labor administration, HR制度 operations, general affairs, legal support, governance, compliance, and workflow improvement while partnering with executives and internal teams.
Support corporate operations under the CFO, covering legal and general affairs, governance, PMI after M&A, stakeholder coordination, project progress management, and improvements to back-office processes.
Develop and evaluate AI solutions for client challenges using statistical and machine-learning methods. Implement image-processing and deep-learning models in Python, report technical progress, and work with solution architects.
Develop AI models from data preparation and feature design through evaluation and implementation, structure client challenges, explain technical findings, and collaborate on architecture and technical direction. Telework is available for consultation.
Develop AI models from data analysis and proof of concept through implementation, including image processing and deep learning. Work with clients and project teams to design approaches, explain results, and support practical deployment.
Join a three-month internship developing deep-learning models for image anomaly detection, gaining hands-on experience in AI project delivery and team development. Python experience is required; PyTorch and Scikit-Learn skills are welcome.