Top Machine Learning Jobs in Nagoya

The Fraud Risk Manager will design and oversee UR's fraud prevention program, manage fraud monitoring, investigations, and implement a governance model. Responsibilities include optimizing recovery workflows, maintaining compliance documentation, and reporting insights to stakeholders.

The CSM will engage with enterprise clients to optimize fraud detection and AML compliance, drive ROI, and support operational efficiency.

The intern will engage in full-stack development, collaborating with teams, optimizing code, and exploring AI techniques, while learning Agile methodologies.

As a Software Engineer, design, develop, and deploy software solutions leveraging AI. Optimize performance and collaborate with cross-functional teams to enhance customer experiences and internal efficiency.

Lead and develop a self-sufficient autonomous vehicle team in Japan, focusing on localizing and advancing AV technology tailored to Japanese road conditions and driving behaviors.

The Field Application Engineer will serve as the primary technical contact for customers, focusing on implementing AI/ML hardware/software solutions, collaborating with teams, and ensuring customer success.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

Manage relations with ISVs and Service Providers, promote NVIDIA tools, drive product adoption, and collaborate with partner managers to develop GPU solutions.

Lead a cross-functional team to develop and implement AI products, focusing on Large Language Models and enhancing client solutions.

As a Machine Learning Engineer, you will architect and deploy AI models, collaborate with product teams, and optimize AI capabilities for production.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Machine Learning Engineer will develop ML models for autonomous vehicles in Japan, collaborating on integration, evaluation, and adapting technology to local challenges.