Top Machine Learning Jobs in Nagoya

This role involves leveraging Generative AI for scientific applications, leading collaborations, and providing technical guidance to clients on NVIDIA's AI solutions.

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

The Technical Program Manager will communicate, optimize, plan, execute, and problem-solve for enterprise-grade AI software projects, focusing on customer success and cross-functional collaboration.

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

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.

Manage and mentor engineering teams, ensure high-quality product delivery, contribute to technical decisions, and enhance classroom learning experiences.

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.

The Business Development Representative will develop new business, identify leads, coordinate sales efforts, and work with cross-functional teams to drive customer success.

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.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.