Top AI Engineer Jobs in Singapore

As a Lead AI Engineer, you will lead AI innovation, develop AI solutions, guide a team through development, and ensure model deployment in production. You will collaborate with cross-functional teams and stay on top of AI trends.

As an AI Engineer at Sonar, you will conduct applied research, develop algorithms, and enhance AI applications to improve software engineering processes, focusing on code quality and automation.

As an AI Engineer, you develop prototypes and demos, implement apps and integrations, test model performance, and collaborate cross-functionally to create scalable AI solutions.

As a Senior AI Engineer, you will develop AI solutions to enhance customer support and internal efficiency, design APIs, and collaborate with teams in a fast-paced environment.

The Staff AI Engineer will lead the development of AI solutions, set technical vision, design robust APIs, and enhance user experience through innovative language technologies.

Drive innovation in AI solutions by architecting scalable systems, collaborating with teams, and ensuring best practices in AI development. Lead technical design and implementation efforts.

As an AI Developer, you will develop Generative AI solutions, collaborating with data engineers and implementing ML models to enhance operations and support business needs.

The Senior AI Developer will lead Generative AI initiatives, develop innovative solutions, and collaborate with teams to enhance operations and customer experience.

The AI Workflow Engineer Intern will work on end-to-end AI projects, support AI solution development, and enhance existing frameworks using Python while gaining hands-on experience with Databricks and AWS.

The Lead AI Developer leads software projects, champions best practices, oversees development cycles, and collaborates with teams to deliver AI solutions, ensuring quality and client satisfaction.

This position involves researching optimization techniques and machine learning for air traffic management, developing algorithms, and collaborating with industry partners.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The Senior AI Engineer will integrate and scale AI tools, develop internal models, and collaborate with engineers to enhance Razer's AI capabilities.

The Senior AI Engineer will solve complex problems using AI, build client relationships, and contribute to a top-tier AI team with at least 7 years of relevant experience.

As an AI Engineer, you'll develop machine learning solutions, work on data preparation, integrate AI into applications, and collaborate with teams.

The AI Engineer will develop and deploy AI solutions, lead development lifecycles, integrate AI workflows, and communicate their value to stakeholders.

Senior AI Developers design and implement software solutions, advocate for best practices, mentor junior staff, and utilize AI technologies to solve complex problems.

The Principal AI Engineer will design and deploy deep learning models, develop AI solutions for security, and mentor junior engineers. Responsibilities include fraud detection, compliance automation, and multimodal analysis, integrating AI into large-scale systems.

The Applied AI Engineer will collaborate with customers to implement AI solutions, develop full-stack applications, and enhance product capabilities through feedback.

The role involves developing analytics solutions using AI, collaborating with analysts, integrating data for analysis, and enhancing Generative AI applications. Candidates will create dashboards and manage projects based on business objectives.

The AI Engineer supports the global AI sandbox, develops AI solutions, conducts R&D, and collaborates with cross-functional teams to deliver high-quality AI products.

Lead the development of AI-driven solutions, designing robust APIs, and collaborating with cross-functional teams to enhance product offerings. Focus on building innovative systems that improve efficiency and customer support.

The Senior Frontend Engineer will build responsive UIs, collaborate with engineers, manage product roadmaps, and utilize modern technologies to enhance user experiences at Airwallex.

The Senior ML Platform Engineer will design and maintain the MLOps platform, implement automation for model deployment, and ensure system security, collaborating closely with Data Scientists and ML Engineers.

Lead the design and development of frontend interfaces using React and TypeScript, architecting micro-frontend applications and mentoring team members in a collaborative environment.