Lead product management efforts, focusing on AI-driven solutions and market fit. Collaborate with teams to drive product vision and execution.
AI engineer and machine learning jobs in Tokyo scored for foreign engineers — visa sponsorship, Japanese level and salary on every listing. Drop your resume to see them re-ranked for you.
Lead and manage core personnel for the generative AI business, focusing on innovative solutions and team development.
Responsible for leading AI-driven development projects and teams.
Design and propose cloud solutions for national security clients, leveraging advanced technologies like AI/ML and cybersecurity.
Lead product development to democratize marketing and contribute to business growth through technical strategy.
Develop automation for the Tailor Platform using AI technologies, including creating custom AI models and providing solutions to technical challenges.
In this role, you will bridge the gap between AI products and production-grade reality, managing blockers to production and providing deployment of AI systems.
Lead the development and improvement of AI functions, focusing on extracting and structuring information from PDF documents.
Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
Design and implement enterprise-level AI solutions, ensuring integration with existing systems and processes.
Assist partner sales by problem-solving key technical issues for customers and liaising with product marketing and engineering teams.
Develop and demonstrate solutions based on NVIDIA’s GenAI technologies, focusing on inference and customer challenges.
Lead the development of AI agents using LLMs, focusing on architecture design and implementation to maximize client business value.
Join NVIDIA as a Developer Relations Manager, Financial Services, to build deep expertise and drive adoption of NVIDIA technologies in the financial sector.
Lead AI initiatives and oversee various projects within the company.
Develop and implement LLM applications using TypeScript and Python, focusing on business logic and user interface components.
Provide best practices for building and operating analytics, search, and streaming workloads as a Specialist Solutions Architect.
The Machine Learning Engineer will be responsible for engineering tasks related to bid optimization logic, including data analysis and A/B testing.
Work with customers and partners in Japan, promoting the adoption of Agentic AI and providing technical support for GPU-accelerated computing solutions.
Design user experiences that create positive change through products, utilizing AI and design systems.
Manage the data management team, focusing on organizational development and strategic planning while ensuring technical decision-making in data engineering.
Design and develop enterprise-level systems using AI-driven development processes, focusing on quality and security requirements.
Lead projects utilizing generative AI to enhance productivity and create new business value across the group.
