Top AI Jobs in Singapore

Lead the design and development of enterprise-grade AI solutions, ensuring compliance and governance, while mentoring teams and managing operations.

Lead AI Engineer responsible for solving complex AI problems, building and mentoring a high-performance team, and driving AI solutions from inception to deployment.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

The AI/ML Engineer will design, develop, and deploy machine learning models, collaborate with teams, and optimize algorithms while ensuring code quality.

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.

As a Senior Product Designer, you will enhance user experience for AI products, collaborating with cross-functional teams and conducting user research to inform design decisions.

In this leadership role, you will design and implement AI systems, build ML pipelines, optimize performance, and mentor engineers.

As an Android Developer, you will design and build production apps, integrating AI features and optimizing user experience, while collaborating with backend teams. You'll tackle challenges involving AI and device interactions.

Lead the engineering team for a consumer AI product by building core infrastructure, improving engineering culture, and aligning AI initiatives with business strategies.

As a Backend Engineer, you'll design and implement AI services, manage integrations, build orchestration pipelines, and ensure system reliability and performance.

In this founding iOS role, you'll design and build AI-powered mobile systems, integrating backend APIs and optimizing performance while maintaining high App Store quality.

Responsible for automation testing using AI, maintaining frameworks, resolving testing issues, and supporting performance and functional testing.

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.

Develop AI and ML solutions to improve semiconductor workflows, train Citizen Data Scientists, and collaborate on data-driven insights and automation.

The AI Scientist will develop frameworks to evaluate and audit Reinforcement Learning systems, ensuring safety and performance while leveraging advanced ML techniques.

Leverage structured and unstructured data to solve business problems, developing AI applications, models, and monitoring their performance using MLOps processes.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

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

Develop and deploy AI and ML solutions, design microservices architectures, mentor teams, and lead technical discussions to innovate AI applications.