Top Artificial Intelligence Jobs in Osaka

Lead complex projects that enhance technology solutions at Pfizer, focusing on Agile implementation, stakeholder engagement, and communication of project statuses.

The role involves developing AI solutions, data engineering, and analytics products, ensuring system integration, automation, and collaboration within teams to enhance Pfizer's digital transformation efforts.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

Mentor students in Nanodegree programs, provide project reviews and technical support, offering personalized feedback and responding to queries promptly.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

The Senior Partner Executive at SUSE focuses on developing partnerships, aligning strategies, tracking performance, and driving business growth in collaboration with key stakeholders.

Join the Welo Data team to enhance AI models through data annotation, collaboration, and culturally nuanced AI contributions, ideal for language enthusiasts.

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

As an AI Client Manager, you will audit and assess clients' AI Management Systems, prepare reports, and collaborate with the AI team to ensure regulatory compliance and service quality.

The Platform Architect (Zendesk AI) sells and implements customer engagement solutions, serves as a technical bridge, and delivers demos and workshops.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Support SEO/SEM efforts for AI image generation site by optimizing content, conducting data analysis, and collaborating with cross-functional teams.

The AI Engineer will leverage AI technologies for business transformation, handling system development, requirements definition, project management, and collaboration across teams.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

The AI Sales Manager will drive sales opportunities in AI services, manage client accounts, and ensure business growth through consultative sales in competitive markets.

The Senior Software Engineer will develop backend systems, optimize infrastructure, and enhance text-to-speech models to provide efficient services. Responsibilities include using cloud technologies, Docker, and Kubernetes for deployment, while delivering impactful product features.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

The AI Client Manager conducts audits of AI management systems, works with clients on compliance and certification, and ensures quality service delivery. Requires expertise in AI and relevant regulations.

Seeking a Senior Software Engineer for Generative AI to develop features, collaborate in teams, and maintain systems. Must have strong Ruby skills and AI familiarity.

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 AI Outcomes Manager will engage with executives, conduct use case workshops, and collaborate with Product and R&D to enhance customer engagement and achieve successful AI implementation.

The Director of Operations/Strategy will lead strategic planning, facilitate cross-functional coordination, and represent the cofounder in various executive initiatives.