Top AI Jobs in Singapore

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

The AI/ML Lead will integrate LLMs into systems, develop NLP capabilities, create recommendation systems, and improve AI models using feedback and benchmarks.

The role involves managing AI and data science projects, engaging stakeholders, and delivering data-driven solutions while leading a team and guiding junior members.

Lead the development of AI applications, integrating AI models with front-end experiences, and build robust backend services and APIs.

The Senior AI Engineer will develop a retrieval layer for enterprise AI agents, ensuring relevant, permission-aware responses by integrating multiple data sources and designing hybrid retrieval systems. Responsibilities include mentoring, designing pipelines, and building evaluation systems, with a strong focus on retrieval quality and permission management.

Drive business growth in APAC for AI solutions, focusing on identifying opportunities, closing deals, and building an AI sales team while maintaining client relationships.

The Senior Sales Director will drive AI solutions growth in APAC, identifying client needs, managing sales processes, building relationships, and leading a sales team.

The Data Scientist will develop and deploy AI models for computer vision and text processing, enhancing business products at GoTo Financial. Responsibilities include model optimization, documentation, and collaboration between data science and engineering teams.

Lead the AI Center of Excellence, overseeing AI strategies, operations, and team development in alignment with organizational goals.

Design and operate large-scale GPU infrastructure for distributed AI training, ensuring reliability, performance, and efficient customer partnerships.

This job is for candidates with AI infrastructure experience to submit their resumes for future opportunities. No specific role is posted.

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

Drive strategic initiatives in a high-impact role focused on execution, efficiency, and organizational scaling as part of the CEO Office.

The AI Application Architect will design AI capabilities for DevOps scenarios, develop automated RCA systems, and build AIOps platforms while collaborating with multiple teams to enhance operational efficiency.

Lead developer relations focusing on NVIDIA's AI technologies, engage with partners for integration, and drive adoption through technical expertise and collaboration.

The role involves developing and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.

The Full Stack Intern will develop web applications and integrate AI features, assist in testing and deployment, and collaborate on business requirements.

The Artificial Intelligence Engineer at OneByZero builds production-grade agentic systems on AWS, integrating into enterprise realities, and ensuring compliance and performance evaluation throughout the process.

The Senior AI Researcher will conduct insurance-related AI research, develop prototypes, lead technical guidance, and publish findings while promoting AI innovation at Manulife.

The AI Governance Officer will ensure ethical AI practices in the AI Lab, supporting project teams throughout the AI SDLC and managing governance compliance.

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.

As an AI Solutions Manager, you will drive customer adoption of AI technologies, build relationships, conduct discovery, and collaborate with technical teams to address customer needs, focusing on measurable business outcomes.

As an AI Application Engineer, you will debug and improve platforms, develop AI tools and proof-of-concepts, and collaborate across teams to enhance AI systems.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

Lead the AI product strategy, balancing technical feasibility with user needs, while collaborating closely with engineers for effective execution and quality control.