Top AI Jobs in Singapore

The Full Stack Engineer will design, develop, deploy, and maintain web applications using AI-assisted programming and Azure cloud infrastructure, ensuring scalability, security, and compliance.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

The AI Governance Manager will lead AI governance initiatives, ensuring ethical AI system deployment while overseeing compliance, risk assessment, and stakeholder engagement.

As a Product & AI Engagement Trainee, you will boost user engagement through experiments, analyze behavior, support partner integration, and conduct user research for product improvement.

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.

The Private Cloud AI Sales Specialist will drive AI solution sales, manage customer relationships, and lead commercial strategy for HPE's AI offerings.

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.

The AI & Digital Tech Lead will oversee architecture and delivery of AI and digital projects, guiding technical standards, mentoring juniors, and ensuring project alignment with business strategy.

The role involves managing IT/Cyber risk across APAC, supporting risk management frameworks, and conducting AI Risk Assessments while collaborating with stakeholders.

This internship involves processing service requests for development tools, providing user support, maintaining scripts in Python and Groovy, and developing AI solutions.

The AI Engineer role involves applying expertise in AI and ML to develop solutions, enhance client relationships, and continuously improve skills.

The Senior AI Engineer will solve complex problems using AI, enhance client relationships, and contribute to a top-tier AI team with responsibilities in development and governance.

Manage, optimize, and monitor large-scale AI computing clusters. Collaborate on upgrades, ensure high availability, and document processes.

Join NVIDIA's research team to develop GPU-accelerated generative AI models, publish research, mentor interns, and collaborate externally.

As an AI Solutions Engineer, you will lead technical engagements, build AI/ML prototypes, design data architectures, and manage the ML lifecycle, collaborating with customers and internal teams to deliver business value.

The A&PS AI Solution Architect leads the design and delivery of AI solutions. This role involves presales activities, technical leadership, stakeholder collaboration, and ensuring AI architectures meet customer business needs.

Lead global strategy and execution for AI/data center infrastructure—acquire and deploy GPU clusters, manage vendor and client relationships, drive site selection and EPC projects, develop commercial and technical roadmaps, and lead infrastructure teams to ensure operational excellence and performance monitoring.

The role involves designing cloud solutions for customers, driving customer acquisition, leading innovation initiatives, and building technical thought leadership in cloud computing.

The AI Workforce Consultant accelerates AI fluency and adoption within organizations by designing training, enabling leaders, and integrating AI tools into workflows to foster responsible usage and drive business outcomes.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

The intern will work on R&D topics in predictive modeling, focusing on survival analysis and developing enhancements for a Python-based modeling framework. Responsibilities include reviewing existing literature, contributing to model development, and producing documentation and a final research report.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

Drive adoption of AI/BI solutions, engage with enterprise leaders, and translate data into business value, leveraging strong sales experience.

The role oversees AI and data risk governance, ensuring compliance with regulations while managing the AI and data lifecycle effectively across the organization.

Lead the development and deployment of AI/ML solutions at Prudential to drive business growth, efficiency, and innovation while managing teams and aligning strategies with business objectives.