Top AI Engineer Jobs in Singapore

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

Design and maintain automation plugins for Unreal Engine and Unity 3D. Build automation with Python, refine algorithms to enhance performance, and ensure code quality.

Develop and maintain large-scale AI infrastructure for machine learning and generative AI workloads, ensuring performance and reliability across systems.

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

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.

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

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 Senior IT Operations Engineer will provide hands-on IT support, manage IT infrastructure, lead troubleshooting, and optimize IT processes.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The role involves integrating AI models across business domains, providing solutions, maintaining system availability, and improving tech practices.