Top AI Jobs in Singapore

The Associate manages investment execution, due diligence, and portfolio monitoring in Private Equity and Real Estate across the APAC region, supporting processes and stakeholder communication.

The AI Sales Specialist drives success for Red Hat's AI portfolio in Singapore, managing sales strategies, demonstrating economic value, and advising clients on AI deployment.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI solutions for customers using Salesforce D360 and Agentforce, guiding executives and collaborating with teams to drive innovation and value.

The role involves participating in an AI training program focusing on agentic automation, performing business analysis, and engaging in RPA and AI development tasks.

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

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

The AI Platform Specialist will drive the development and management of UOB's AI platform, enabling various AI solutions while ensuring operational excellence and compliance.

The Senior Software Engineer will own the CDE platform, architect AI agents for ML workflows, and collaborate with ML Engineers to enhance productivity.

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

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.

The Technical Lead and Architect will design and manage cloud infrastructure, provide technical leadership, ensure security compliance, and optimize performance.

The 6G Engineer will develop and prototype advanced wireless communication systems, focusing on 6G technology and applying AI tools for system enhancement.

The AI Sales Engineer collaborates with the sales team, providing technical insights and support to drive product adoption in machine learning organizations, leading demos, and uncovering customer needs.

The intern will develop AI-enabled Bayesian models for oncology trials, work on data-driven priors, integrate external control arms, develop dose-finding models, manage PK data, and create insights with LLM tools.

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

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

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

Lead the design and development of enterprise-grade AI solutions, ensuring compliance and governance, while mentoring teams and managing operations.

The role involves building AI search agents, creating RAG pipelines, optimizing vector search technologies, and automating evaluation processes.

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

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 Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Responsible for automation testing using AI, maintaining frameworks, resolving testing issues, and supporting performance and functional testing.

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.