Top AI Engineer Jobs in Singapore

As an AI Engineer at Sonar, you will conduct applied research, develop algorithms, and enhance AI applications to improve software engineering processes, focusing on code quality and automation.

As an AI Engineer II, you'll build AI solutions, design scalable analytical systems, deploy machine learning models, and collaborate with teams to meet client needs using big data frameworks and tools.

As a Senior AI Engineer, you will develop AI-driven solutions, design system architectures, and collaborate with teams to enhance business efficiency.

Lead the development of AI agents and solutions, designing robust APIs and system architecture to enhance user experience and internal efficiency.

As a Forward Deployed Software Engineer, you will build LLM-enabled applications, operate with customers, and design scalable AI-native solutions while delivering in agile sprints.

The AI Engineer supports the global AI sandbox, develops AI solutions, conducts R&D, and collaborates with cross-functional teams to deliver high-quality AI products.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

As a Lead AI Engineer, you will design, train, and deploy ML models, mentor junior engineers, and lead technical decision-making to build impactful AI systems in Finance.

The AI Developer will design and deploy machine learning models, mentor junior engineers, and collaborate with cross-functional teams to enhance financial services.

The AI Engineer will design and deploy machine learning models, lead technical decisions, mentor junior engineers, and collaborate with cross-functional teams to enhance AI systems for financial services.

The Founding AI Engineer will build and deploy machine learning models, collaborate across teams, and contribute to AI initiatives. The role focuses on solving real-world problems in financial services using AI.

As an AI Engineer, you will develop, deploy, and optimize AI models, ensuring their integration into existing IT systems while supporting new features and lifecycle management.

The AI Engineer will develop and deploy AI solutions, lead development lifecycles, integrate AI workflows, and communicate their value to stakeholders.

The Senior AI Engineer will solve complex problems using AI, build client relationships, and contribute to a top-tier AI team with at least 7 years of relevant experience.

As a DevOps Engineer, you'll design and manage cloud infrastructure, ensuring performance, scalability, and security while collaborating across global teams.

As a Senior Frontend Engineer at Airwallex, you'll build high-performance UIs that connect users with AI agents, collaborate closely with cross-functional teams, and engage in product planning and development for scalable frontend architectures.

Lead frontend design and development of user interfaces connected to AI agents for financial work. Mentor frontend developers and collaborate with cross-functional teams.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

Develop AI/ML models for network optimization and collaborate on 5G/6G technologies. Design prototypes and integrate AI into mobile systems.

As a Generative AI Engineer at ResMed, you will design and deploy AI workflows on AWS, modernize systems, develop solutions, and collaborate with teams to improve healthcare technology.

Develop next-gen data infrastructure solutions for AI initiatives, collaborating with data teams and ensuring system reliability and compliance.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.

Design and deliver AI applications and algorithms, manage product life cycle, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

Develop and deploy AI applications and algorithms, collaborating with teams to enhance diagnostic systems and ensure algorithm reliability.