Top AI Jobs in Singapore

As an AI Engineer at SimplifyNext, you will develop machine learning models, integrate AI solutions, perform data engineering tasks, and collaborate with SMEs to deliver impactful AI-driven solutions.

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

Lead the design, development, and optimization of AI-driven growth models for user acquisition, retention, and monetization in a crypto exchange setting.

The AI Enablement Strategist develops AI strategies for HR, Marketing, and Communications, translating business needs into AI-enabled solutions and prototypes, while ensuring compliance with Responsible AI principles.

The AI Engineer will develop AI solutions leveraging LLMs, leading the development lifecycle and collaborating with teams to integrate AI into workflows.

The role focuses on managing the creative production process using AI tools, developing concepts, collaborating with creatives, and ensuring brand alignment in deliverables.

As an Intern - AI/DA Engineer, you will support quality control and yield improvement through developing AI/automation solutions and dashboards for data analytics in the SMT assembly process.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

The role oversees AI governance and software compliance, ensuring products meet regulatory standards while promoting ethical AI development and data security.

Looking for a Senior AI Engineer to design and deploy AI-driven solutions for 6G telecommunications, focusing on Generative AI and digital twins. Requires collaboration with various experts and mentoring of junior engineers.

The role involves leading and mentoring teams in AI projects, collaborating with academia and industry, and showcasing NVIDIA technologies.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

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 AI Governance Manager will lead AI governance initiatives, ensuring ethical AI system deployment while overseeing compliance, risk assessment, and stakeholder engagement.

Drive market success for Workday's Open Platform products by leading sales cycles, educating C-suite executives, and implementing adoption strategies for AI technologies.

As an AI Engineering Intern, you will build AI assistants, develop desktop features, implement workflows, and collaborate on real-world applications.

As an AI Engineer Intern, you'll work on AI solutions for automotive applications, developing efficient models for resource-constrained environments and contributing to real-world AI innovation.

The AI Workflow Engineer Intern will work on end-to-end AI projects, support AI solution development, and enhance existing frameworks using Python while gaining hands-on experience with Databricks and AWS.

Lead the AI-Native Special Projects unit to build AI-powered sales and marketing assistants. Architect solutions and lead a team of product engineers to deliver prototypes quickly while ensuring user needs are met.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

The role involves ensuring the performance and reliability of AI offerings, developing evaluation systems, and automating case analysis for product improvement.

The AI Engineer will develop intelligent algorithms for fraud detection in blockchain data, focusing on transformer models and graph-based analysis, while deploying scalable AI services.

As a PhD intern in AI research, you will work with research scientists on projects leading to conference submissions, focusing on areas like conversational AI and multimodal data intelligence, while enhancing your research in your PhD field.

The role involves implementing NVIDIA Inference Microservice solutions, optimizing AI models, and providing technical support and mentorship to clients in AI workflows.

Assist in software development, testing, and documentation for AI/LLM initiative. Provide user support and collaborate with teams on technical issues.