Top AI Engineer Jobs in Singapore

As an IT Strategy Consultant, you will provide consulting services, develop IT strategies, and optimize processes for clients while gaining hands-on experience in various IT domains.

Responsible for researching and implementing AI techniques, collaborating on LLM projects, fine-tuning models, and providing mentorship to junior engineers.

Seeking AI engineers to develop and implement techniques in Large Language Models and Generative AI, collaborate with teams, analyze performance, and mentor juniors.

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

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

Lead the design, development, and deployment of AI-driven 6G solutions, collaborating with experts in telecommunications to create scalable AI applications.

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.

The AI Platform Engineer develops and maintains scalable data pipelines using Python and AWS, collaborates with teams to refine data models, and ensures data accessibility for decision-making.

You'll identify AI solutions to optimize workflows, manage complex AI projects, write code, and mentor junior engineers to enhance engineering productivity.

Lead AI-assisted product development initiatives, enhance engineering productivity, mentor engineers, and implement technical solutions for efficient workflows.

The Principal Software Engineer will lead AI tool development to enhance engineering efficiency at Grab, managing complex projects and mentoring junior engineers.

Join an expert team to train AI data, write and review code, and create training materials for AI models. Flexible, remote position.

Join an expert annotation team to create training data for AI models by evaluating code quality, solving coding problems, and writing test cases.

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.