Top AI Engineer Jobs in Singapore

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.

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

Develop AI and ML solutions for semiconductor workflows, guide Citizen Data Scientists, and build predictive models to enhance manufacturing efficiency.

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.

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.

As an AI Engineer II, you will build AI applications, develop scalable data solutions, collaborate with teams, and deploy machine learning models, while ensuring high standards of data privacy and security.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

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.

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 Engineer will develop AI solutions leveraging LLMs, leading the development lifecycle and collaborating with teams to integrate AI into workflows.

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.

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

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

As an Innovation and Applied-AI Engineer, you will develop AI/ML software solutions, prototype new ideas, and implement end-to-end systems within a collaborative, innovative team environment.

Lead the design and development of enterprise-grade AI solutions, ensuring compliance and governance, while mentoring teams and managing operations.

As a Generative AI Engineer at ResMed, you will design and deploy AI workflows on AWS, modernize systems, develop solutions, and collaborate with teams to improve healthcare technology.