Top AI Jobs in Singapore

The Director, AI Solutions Engineer leads AI integration in marketing, develops APIs and UIs, ensures compliance and security, and provides technical support for AI models.

The Director, AI Technologist leads the technical architecture for AI integration in marketing, overseeing AI-driven innovations and workflow optimizations across media and production.

As an AI Researcher, you will design and improve ML/LLM systems, develop AI features, conduct experiments, and enhance product performance through analytics and observations.

Design and build autonomous AI systems using large language models, develop workflows, and integrate solutions into production while ensuring performance optimization.

As an Innovation and Applied-AI Engineer, you will develop AI/ML software solutions, prototype new ideas, and implement end-to-end systems within a collaborative, innovative team environment.

The Applied AI Engineer will onboard customers onto Mistral AI products, ensure effective integration, collaborate on advanced AI applications, and improve product capabilities based on user feedback.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

Assist in identifying business problems, propose analytics solutions, collaborate with data engineers, develop ML models, create dashboards, and innovate generative AI applications.

The Senior AI Operations & Automation Manager is responsible for designing, building, and expanding automation workflows across multiple companies, enhancing efficiency and operational strategy using AI and automation tools.

As an Applied AI Engineer, you will design, build, and deploy AI agents integrating large language models with enterprise workflows, ensuring reliability and performance. Close collaboration with customers is essential for turning complex business problems into scalable solutions.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

The Senior Software Engineer will design and build an AI/ML platform, optimize performance for deep learning, and lead engineering initiatives.

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 Learning Specialist will design and execute AI learning programs, conduct skills assessments, and collaborate with stakeholders to enhance AI literacy across Asia.

As a Developer Technology Engineer at NVIDIA, you'll optimize GPU deployment and enhance AI applications, collaborating with internal teams and external partners while mentoring junior engineers.

Lead AI strategy, drive company-wide AI adoption, architect production AI systems, and establish best practices and governance for AI initiatives.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.

The Revenue Intelligence Analyst will transform revenue performance understanding using AI, automate insights, and improve decision-making processes for sales and marketing teams.

The AI Outcomes Manager will assist departments in leveraging Glean's AI platform by engaging with stakeholders, conducting workshops, and shaping the product roadmap.

The Responsible AI Specialist will develop AI governance standards, conduct risk assessments, engage stakeholders, and promote ethical AI practices across UOB.

Lead innovative research in AI/ML technologies, mentor researchers, collaborate across teams, and advocate for ethical AI at Temus, driving national-scale initiatives.