Top AI Engineer Jobs in Singapore

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 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.

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.

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.

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.

The role involves developing AI solutions, including report automation and Generative AI applications, collaborating with teams to analyze data, and creating visualizations for stakeholders.

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

As a Machine Learning Engineer Intern, you will build data pipelines, develop models, and collaborate on data-driven solutions in manufacturing. Gain experience with cloud platforms and MLOps.

Develop AI solutions utilizing large language models to boost productivity, lead end-to-end development of AI systems, and integrate AI into business workflows and processes.

Design, fine-tune, and deploy AI/ML solutions (including LLMs) using Python and ML/DL frameworks; integrate geospatial and 3D data; build scalable training pipelines and APIs or plugins for engineering tools; collaborate with engineers and GIS/BIM specialists to embed AI into infrastructure workflows.

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

Design, build, and operate AI agents, automation, and generative tools to boost Digital Sales productivity. Integrate with Visa systems, automate workflows, create content generation capabilities, monitor and iterate on models, and partner with cross-functional teams to ensure secure, compliant, and scalable AI delivery across the AP Digital Sales organization.

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.

The Applied AI Engineer will lead the adoption of AI products, collaborating with clients to integrate AI models and maintain full-stack applications while enhancing customer feedback.