Top AI Jobs in Singapore

Develop advanced calibration, localization, and mapping algorithms for autonomous robots, ensuring high-quality code delivery and collaboration across teams.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

Develop and implement AI solutions for game development, enhance integration with game engines, and collaborate with teams to analyze player engagement.

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

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.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

As a Senior Risk Manager, you will oversee AI-driven risk monitoring, investigate market abuse, develop SOPs, and coordinate across teams to ensure effective risk management.

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

As a Solutions Architect, you'll lead AI research and application projects, mentor team members, and collaborate on strategic initiatives in AI technology.

The Solutions Architect will lead AI initiatives, mentor junior staff, develop strategic projects, and collaborate with universities and industries while promoting NVIDIA technologies.

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

The Director, AI Solutions Engineer leads AI integration in marketing, develops APIs and UIs, ensures compliance and security, and provides technical support for AI models.

The Director, AI Technologist leads the technical architecture for AI integration in marketing, overseeing AI-driven innovations and workflow optimizations across media and production.

As an AI Researcher, you will design and improve ML/LLM systems, develop AI features, conduct experiments, and enhance product performance through analytics and observations.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

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 Senior AI Operations & Automation Manager is responsible for designing, building, and expanding automation workflows across multiple companies, enhancing efficiency and operational strategy using AI and automation tools.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

Intern will assist the engineering team in optimizing blockchain data queries and contribute to AI initiatives at Allium. Expect to learn from experienced engineers and gain hands-on experience.

The Azure AI Engineer designs and deploys AI applications using Azure technologies, focusing on chatbots and orchestration, collaborating with data teams.

The Azure AI Engineer designs, builds, and deploys AI applications on Azure, collaborating with teams to create scalable solutions using various Azure services.

The Azure AI Engineer will design, build, and deploy AI applications on Azure, collaborating with teams to create scalable solutions.

The Azure AI Engineer will design and deploy AI applications on Azure, collaborating with data engineers and business teams for scalable solutions.

The Azure AI Engineer will design, deploy, and integrate AI applications using Azure technologies while collaborating with data engineers and business teams to ensure scalable and secure solutions.

Design, build, and deploy AI applications on Azure using Azure AI Services and OpenAI. Collaborate with teams for scalable solutions and implement CI/CD pipelines.