Top AI Engineer Jobs in Singapore

The AI Engineer will develop AI-driven solutions, focusing on backend software development and system architecture to enhance both internal efficiency and customer support.

As a Senior AI Engineer, you will develop AI solutions, design APIs, and collaborate with teams to drive efficiency and innovation.

As a Senior AI Engineer, you will develop AI solutions, design robust APIs, and collaborate to enhance internal efficiency and customer support.

Conduct research and develop AI/ML algorithms to enhance software performance. Collaborate with cross-functional teams and implement best practices in code quality.

Lead the development of AI agents in the Generative AI department, focusing on architecture, API design, and driving innovation in AI solutions.

As a Solution Architect, you will drive revenue through Cloudflare's Developer Platform, collaborate across teams, and guide clients on technical solutions.

As a Software Engineer in the Generative AI team, you will develop AI-driven solutions, design APIs, collaborate with teams, and implement architecture for growth.

Lead the development of AI-driven solutions, design API architectures, and improve internal processes. Collaborate with teams to deliver innovative AI products.

As a senior engineer in the Generative AI team, you will develop AI-driven solutions, design robust APIs, and influence innovation in financial technology.

Lead the development of AI solutions, APIs, and architecture in the new Generative AI department. Drive innovation and improve customer support and automation.

Lead AI-driven solutions scaling, product lifecycle ownership, enhancing automation, rapid prototyping, and cross-functional collaboration for business growth.

The Applied AI Engineer will onboard customers, guide integration of AI solutions, and collaborate on complex projects to ensure successful deployment and customer satisfaction.

As an Applied AI Engineer at Mistral, you will onboard customers, implement AI solutions, and collaborate on complex projects, utilizing DevOps expertise.

Lead AI engineering projects, develop scalable AI solutions, manage data science teams, and collaborate on analytics architecture while ensuring technical standards and best practices.

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.

Develop and improve the GitLab product with focus on AI capabilities and integration of technologies while collaborating in a remote team environment.

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

Lead the architecture and development of scalable AI pipelines and APIs, optimize models for performance, and oversee AI testing frameworks.

The AI Engineer will design, develop, and maintain scalable AI/ML systems, analyze data, and collaborate with cross-functional teams to enhance healthcare solutions.

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

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

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 Senior AI Engineer will develop generative AI applications for healthcare, focusing on innovative solutions to improve patient outcomes. Key responsibilities include deploying AI technologies, model training, and building scalable frameworks.