Top AI Engineer Jobs in Singapore

The Lead AI Engineer at Prudential will utilize advanced analytics and machine learning to solve complex business problems, enhance customer experience, and lead the development of chatbot technologies. The role involves overseeing AI engineering standards, ensuring reliable AI solutions, and collaborating with business units to derive insights and implement predictive models.

The AI Lead Engineer will spearhead the development of advanced computer vision technologies for security applications, focusing on facial recognition and anti-deepfake solutions. Responsibilities include leading a team, collaborating with cross-functional departments, and staying updated on industry trends to enhance biometric processing systems.

The Lead AI Engineer will develop and deploy advanced AI models, particularly transformer models, to combat fraud. This includes enhancing fraud detection systems using graph algorithms and collaborating with data engineering teams. Responsibilities also involve evaluating model performance, guiding team members in AI methodologies, and maintaining a strong understanding of related blockchain technology.

Join an expert annotation team to create training data for advanced AI models. Responsibilities include evaluating AI-generated code, solving coding problems, and writing robust test cases. Requires 3+ years of software engineering experience and proficiency in Python.

As an AI Solutions Engineer Intern at Bifrost, you will support perception teams in building vision models while working with synthetic data. Your main tasks include validating computer vision models, contributing to product features, and strategizing new directions.

As a Software Engineer Intern at Thales, you'll conduct research and development on open-source Generative AI frameworks, develop tools that meet business needs, and apply fine-tuning techniques for model optimization. You'll collaborate with your supervisor to learn about AI applications in business.

The Software Engineer Intern will conduct research in Generative AI, develop PoCs, refine tools for business functions, apply model fine-tuning, and collaborate with supervisors on AI applications.

This internship focuses on researching and developing tools in open-source Generative AI stacks. You will create Proof of Concept models, refine functions for specific business needs, and optimize AI model performance while collaborating closely with a supervisor.