Top AI Engineer Jobs in Singapore

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.

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.

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

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

Lead the design, development, and integration of AI-powered applications while ensuring code quality and collaborating across teams. Ideal for engineers focused on automation and secure application engineering.

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.

Design, build, and deploy Copilot solutions and extensions using Copilot Studio and Graph connectors. Implement RAG, semantic search, vector indexes, and secure integrations with Microsoft 365, Azure, and enterprise systems. Ensure security, compliance, and Responsible AI. Establish MLOps/DevOps, monitor performance and costs, and run discovery workshops, documentation, and enablement to drive adoption and continuous improvement.

The Senior AI Engineer (Agents) will design, develop, and optimize AI and ML products, focusing on LLMs and automated systems, while collaborating with teams for integration and building production-grade pipelines.

As a Principal AI Engineer, you will lead the architecture and deployment of large-scale conversational chatbot systems, optimizing their performance for enterprise and consumer use cases.

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

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.

Lead and mentor a team of AI and data engineers, develop AI solutions, engage in community, and create thought leadership in AI.

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.