Top AI Engineer Jobs in Singapore

Develop and implement advanced computer vision technologies for biometric security, including deepfake detection and OCR solutions. Collaborate with teams for scalable implementations and stay updated on industry trends.

Lead the development and optimization of large-scale recommendation algorithms, enhance machine learning models, and improve user engagement through personalized experiences.

Lead the implementation of AI technologies to detect and prevent fraud. Develop models, enhance data inputs, and support team learning in AI.

The Principal Software Engineer will lead AI initiatives, optimize development processes, and mentor engineers, enhancing productivity at Grab.

Lead the development of AI tools and ML systems to enhance engineering processes at Grab. Collaborate with teams to apply AI research and ensure production-ready solutions.

As a Principal Software Engineer, you will lead AI-driven software development initiatives, enhance productivity, and mentor engineers at Grab.

The Lead Software Engineer will develop AI-assisted product solutions, optimize workflows for engineers, manage projects, and mentor junior engineers.

Responsible for developing AI search agents and RAG pipelines, optimizing performance, and monitoring production environments while ensuring accuracy and efficiency.

As a Software Engineer for AI Training, you will create technical questions, review AI-generated code, and provide feedback on code quality and debugging strategies.

Design, develop, and deploy AI-powered solutions, integrating AI/ML models into applications while collaborating with data scientists and DevOps teams.

Lead the development and implementation of AI tools for enhancing engineering workflows, mentoring team members, and optimizing production-ready ML systems.

Join NTT DATA as an Associate AI/ML Engineer to develop and integrate machine learning solutions into software applications for various industries. Collaborate with teams, monitor model performance, and stay updated on AI/ML tools.

As a software engineer, you will develop and manage components of data management software, focusing on AI infrastructure at scale. Responsibilities include overseeing product lifecycle and learning new technologies.

The role involves developing dynamic user interfaces for AI products, optimizing applications, creating reusable components, and collaborating with the AI team.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

The AI Infrastructure Platform Engineer will design and deploy AI networking solutions and optimize AI infrastructures in hybrid cloud environments, collaborating on automation and integration projects.

As an AI Software Engineer, you'll design and deploy AI solutions, optimize models, collaborate with teams, and enhance APIs for performance.

Develop and maintain user-friendly web interfaces, integrate APIs, ensure performance optimization, and contribute to design discussions in a biotechnology environment.

The role involves supporting AI/LLM initiative projects through development, testing, and deployment of software, with a focus on Python and user assistance.

Assist perception teams in building computer vision models using synthetic data, train and validate models, and contribute to product features.

The Senior Platform Engineer is responsible for architecting and maintaining scalable AI and Data Platforms, designing data pipelines, and integrating GenAI workflows.

The AI Backend Engineer will develop scalable backend systems, collaborate with frontend teams, and mentor junior engineers while promoting technical excellence.

Develop and implement advanced NLP techniques and large language models for AI-driven content generation, focusing on SEO optimization and chatbots.