Top AI Jobs in Singapore

As a Data Scientist in AI Fintech, you will build machine learning models for fraud detection, analyze data, and ensure compliance with regulations.

The Application Architect will design application architectures for banking solutions, lead API and microservices integration, and work with clients and engineering teams.

The Managing Director will lead enterprise sales and business development efforts in Singapore and SEA, focusing on high-value deals with financial institutions. They will build partnerships, manage the sales pipeline, and represent the company at industry events.

The Senior Scientist will advance robotics through Embodied AI, focusing on learning techniques and creating deployable solutions for industrial applications.

The role involves researching and developing product concepts at the intersection of 5G, AI, and cybersecurity, requiring technical expertise and market validation. Responsibilities include creating MVPs, engaging with industry partners, and translating research into commercializable products.

Manage the delivery of Trade Finance transformation projects, coordinating teams, managing project resources, timelines, and ensuring project alignment with strategic goals.

Lead software development for AI-driven banking solutions, ensuring high-performance, scalable code and integration with AI algorithms across financial applications.

The Senior IT Operations Engineer will provide hands-on IT support, manage IT infrastructure, lead troubleshooting, and optimize IT processes.

Lead organic growth by developing SEO and AI-driven content systems. Manage funnel performance and ensure technical SEO excellence while driving revenue initiatives.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.

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

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

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.

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

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

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

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 Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

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

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.