Top AI Engineer Jobs in Singapore

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 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.

As an AI Engineer, you'll develop prototypes, implement solutions using ServiceNow, and collaborate cross-functionally to enhance AI capabilities and deliver scalable assets.

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 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 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.

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

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

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 role involves designing and optimizing a next-generation data platform, developing large-scale data processing systems, and mentoring junior engineers while ensuring high-quality software engineering practices.

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.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

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.

In this data engineering role, you will design, build, and maintain scalable data pipelines, collaborate with teams, and improve data platform efficiency.

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

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

The 6G Engineer will develop and prototype advanced wireless communication systems, focusing on 6G technology and applying AI tools for system enhancement.

Develop and deploy AI and ML solutions, design microservices architectures, mentor teams, and lead technical discussions to innovate AI applications.

Lead the design, development, and optimization of AI-driven growth models for user acquisition, retention, and monetization in a crypto exchange setting.

As an AI Engineer at SimplifyNext, you will develop machine learning models, integrate AI solutions, perform data engineering tasks, and collaborate with SMEs to deliver impactful AI-driven solutions.