Top AI Jobs in Singapore

The role involves designing, building, and deploying AI applications, particularly large language models, while leading teams and advising clients on AI solutions.

The Research Scientist role focuses on developing generative AI algorithms, particularly for culturally-adapted image and video synthesis, while collaborating on ethical advancements in AI.

As an AI Solutions Engineer, you will develop and maintain backend systems utilizing AI technologies, specifically GPT models, and collaborate with teams to deliver innovative solutions.

Lead product marketing for Razer's AI software products, developing strategies, messaging, and marketing campaigns to drive awareness and adoption globally.

Lead sales strategies and teams for AI and digital solutions, driving growth and identifying business opportunities while supporting customer experience initiatives.

Design and develop AI services and APIs for enterprise automation, focusing on integration, observability, and communication between AI agents while ensuring systems reliability and scalability.

This role involves managing trading operations, developing AI workflows for automation and risk modeling, and ensuring data integrity in trading processes.

The Senior AI Researcher will conduct insurance-related AI research, develop prototypes, lead technical guidance, and publish findings while promoting AI innovation at Manulife.

The Business Development Manager at HPE drives growth through strategic partnerships with NVIDIA, focusing on expanding market presence and supporting sales enablement for AI solutions.

Seeking senior technology leaders for advisory roles on AI product decisions, requiring expertise in AI/ML at scale, system design, and producing decision-ready artifacts.

The Graduate Talent Trainee program develops high-potential graduates into skilled professionals in AI and related fields, offering hands-on experience and training over 18 months.

As a Software Senior Engineer, you will lead the development of AI-enhanced Private Cloud solutions, manage complex systems, and mentor junior engineers.

Lead AI workshops and customer engagements, design AI workflows, collaborate with sales teams, and provide feedback to product teams based on industry insights and customer needs.

Lead the development of Dell's Private Cloud solutions, utilizing AI-assisted tools and collaborating on innovative software and systems design while mentoring junior engineers.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

The intern will support the R&D team in developing web applications, APIs, and integrating large language models, ensuring performance and usability while conducting testing and debugging.

Lead and scale a world-class AI/ML professional services team, developing relationships with APJ customers while managing key accounts and strategic initiatives.

Design and develop scalable data pipelines, build ingestion frameworks, create APIs, and operationalize ML models while ensuring security.

Design and develop GenAI solutions for applications and tools, collaborate with teams, optimize AI pipelines, and document workflows.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

The role involves developing AI solutions, including report automation and Generative AI applications, collaborating with teams to analyze data, and creating visualizations for stakeholders.

The Ecosystem Growth Manager will drive growth by onboarding GPU providers, attracting AI developers, and establishing partnerships for AIVM's decentralized cloud infrastructure.

As an AI Solution Architect, you'll engage in pre-sales, guide AI product implementations, and support customer success with technical expertise.

The Senior AI Engineer will design and deploy computer vision solutions, manage the development lifecycle, and collaborate with teams on AI methodologies.

The role involves researching and optimizing various content generation models, improving user experience, conducting algorithm training, and addressing industrial deployment challenges in AI applications.