Top AI Engineer Jobs in Singapore

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

As an AI Engineer, you will develop AI-driven solutions, design APIs, collaborate with teams, and drive innovation within a fast-paced environment.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

The Senior AI Engineer designs and develops scalable AI/ML systems, operationalizes models, ensures reliability and observability, and mentors junior engineers.

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.

The Lead AI Engineer designs, develops, and maintains advanced AI systems, influences technical direction, mentors junior engineers, and ensures operational stability of AI solutions.

This internship involves assisting in machine learning development, AI automation, data engineering, and exploring innovative projects to enhance test efficiency and engineering productivity.

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.

Contribute to machine learning and AI projects, assisting in model building, data engineering, and automation tasks. Gain exposure to real-world engineering applications and mentorship opportunities.

The intern will develop software and models to analyze diverse data sources, improve processes in manufacturing, and communicate insights effectively.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

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.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

Lead the development of autonomous AI agents, optimizing workflows and integration systems, while ensuring reliability in production environments.

Develop AI solutions leveraging LLMs, lead development lifecycle, build scalable systems, collaborate across teams, and present to stakeholders.

The AI Engineer will develop Generative AI and Large Language Model solutions for supply chain operations, ensuring reliability and adoption. Responsibilities include designing applications, defining architectures, coordinating user testing, and promoting low-code usage.

Develop and optimize machine learning algorithms, train and evaluate AI models, preprocess data, collaborate on deployment, and drive research innovations in AI.

Develop and deploy applications using LLMs, fine-tune models, implement advanced workflows, and integrate GenAI pipelines into production systems.

As an AI Engineer, you will build and deploy AI solutions, work with data preparation, integrate models into applications, and collaborate with teams to solve business problems using AI.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

The AI Engineer role involves applying expertise in AI and ML to develop solutions, enhance client relationships, and continuously improve skills.

The Senior AI Engineer will solve complex problems using AI, enhance client relationships, and contribute to a top-tier AI team with responsibilities in development and governance.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.

Develop advanced calibration, localization, and mapping algorithms for autonomous robots, ensuring high-quality code delivery and collaboration across teams.