Top AI Engineer Jobs in Singapore

As an AI Research Engineer, you will conduct research on AI/ML integration, develop algorithms, train LLMs, and collaborate with teams to enhance software tools for better performance and user experience.

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.

Lead AI initiatives by solving business challenges with advanced analytics and generative AI, ensuring high engineering standards in AI projects and chatbot solutions.

Join the AI trading initiative as a Junior Full-Stack Engineer, building web applications, integrating APIs, and supporting prototype development.

The Applied AI Engineer will onboard clients and ensure successful deployment of AI products, collaborating with teams to address customer needs and challenges.

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.

The Data Engineer II will design and maintain data pipelines, optimize data architecture, and collaborate with teams to enhance data functionality and insights.

As a Software Engineer (AI), you'll develop applications that utilize machine learning, particularly integrating large language models, while collaborating with backend and ML teams.

The role involves integrating various AI models with business domains, developing and maintaining a crawler platform, and ensuring system availability and efficiency.

Develop and implement AI/ML models to solve business problems, ensuring production deployment, reliability, and data analysis. Collaborate with teams and manage project blockers.

Lead the development of testing frameworks and tools for algorithm validation, mentor junior engineers, and enhance testing processes using AI and deep learning techniques.

As an Algorithm and AI Test Senior Engineer, you will develop testing frameworks for algorithm validation, automate testing processes, and enhance algorithm performance using AI techniques.

Design and develop deep learning models for genomics and related fields, optimize performance, collaborate on AI solutions, and implement automated systems.

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

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.

As an AI Development Engineer, you will analyze big data sources, develop software programs, and work with product teams to generate insights.