Top AI Jobs in Singapore

The Research Associate will work on human-like traffic simulations, focusing on traffic behavior modeling and experimental validation using large datasets.

Conduct research and develop AI models using deep learning for carbon measurement and logistics optimization, enhancing sustainability practices.

Conduct research and develop AI models leveraging deep learning and data analysis for carbon measurement and sustainable logistics, focusing on healthcare applications involving gait assessment and disease prediction.

AI Engineers will drive AI projects, mentor apprentices, develop solutions, support recruitment, and foster community through workshops. Requires expertise in AI/ML, Software Engineering, and good communication skills.

Conduct innovative research in advanced machine learning focusing on recommendation systems and graph neural networks, designing novel models, and analyzing large-scale data.

The Research Engineer will conduct research, develop algorithms, design experiments, translate concepts into prototypes, and analyze data, focusing on sustainable digital solutions.

The Project Officer / Research Associate will conduct research on algorithms for image analysis and AI models for hardware security, including data processing, evaluation, and documentation.

The role involves developing hospital-at-home projects by designing and implementing care models, conducting research, analyzing data, and engaging stakeholders to improve patient outcomes.

The role involves developing healthcare models, managing data analysis, engaging stakeholders, and supporting research initiatives in hospital-at-home projects.

The Research Associate will develop AI algorithms for object and defect detection, oversee project budgets, and mentor students.

The Research Associate will conduct research on dexterous hand robotic manipulation for household and manufacturing applications, focusing on developing models and frameworks for effective learning and manipulation.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

As a Fullstack AI Engineer, you will design and maintain AI-powered applications, develop Proof-of-Concepts, enhance AI frameworks, and collaborate on production-grade systems in a cloud-native environment.

As an AI Engineer, you'll build prototypes, design system architectures, write code, integrate AI services, and manage deployments, ensuring software solutions meet public sector needs.

The AI Engineer builds prototypes, designs system architectures, writes production-quality code, manages deployments, and collaborates on AI platform services for government applications.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.

Lead the product roadmap for an AI platform, translate user needs into requirements, and manage a team of product managers in a fast-paced environment.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

The Senior Product Manager will lead AI product strategy at CoinMarketCap, focusing on user needs and data analysis to drive product development.

Lead AI strategy, drive company-wide AI adoption, architect production AI systems, and establish best practices and governance for AI initiatives.

As an AI Infrastructure Engineer at Bitdeer, you'll optimize GPU clusters, manage inference jobs, tune runtimes, and build observability tools in a distributed environment.

This role involves hybrid work, managing sales pipelines, establishing client relationships, and leveraging technical knowledge in HPC and AI to drive sales.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Entry-level consulting trainee program focused on designing, developing, testing, and deploying RPA and AI-enabled automation solutions. Trainees learn SDLC best practices, build automation workflows, integrate APIs, use AI features (document understanding, AI agents), perform testing, document designs, support deployments, and collaborate with cross-functional teams under mentorship.