Top AI Engineer Jobs in Singapore

As a Founding AI Engineer at BJAK, you'll build and deploy machine learning models for financial applications, collaborating across teams and contributing to the full ML lifecycle.

The AI Engineer will design and deploy production-grade machine learning models, mentor junior engineers, and collaborate on AI solutions to enhance financial access across Southeast Asia. Responsibilities include leading technical decisions, mentoring, and supporting hiring efforts for a high-performance AI team.

The Applied AI Engineer will onboard customers on AI products, deploy applications, and collaborate on complex projects involving AI technologies.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.

The Deep Learning/AI Engineer will develop AI systems for cybersecurity, implement deep learning algorithms, and enhance threat detection capabilities.

As an AI Engineer, you will develop, deploy, and optimize AI models, ensuring their integration into existing IT systems while supporting new features and lifecycle management.

The AI Engineer will develop and deploy AI solutions, lead development lifecycles, integrate AI workflows, and communicate their value to stakeholders.

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.

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.

The Senior IT Operations Engineer will provide hands-on IT support, manage IT infrastructure, lead troubleshooting, and optimize IT processes.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The AI Data Engineer Intern will design and implement backend data processing systems, develop data pipelines, manage data storage, and collaborate with data scientists and engineers to support gaming AI products.

The role involves ensuring the performance and reliability of AI offerings, developing evaluation systems, and automating case analysis for product improvement.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

As an Intern - AI/DA Engineer, you will support quality control and yield improvement through developing AI/automation solutions and dashboards for data analytics in the SMT assembly process.

As an AI/DA Engineer Intern, you will develop AI solutions for SMT assembly processes, focusing on data traceability and process optimization. Responsibilities include understanding SMT operations and developing a process dashboard for quality improvement.

The AI Software Engineer will design and implement AI solutions, optimize AI workflows, and collaborate with teams to enhance AI capabilities.

Design and implement machine learning models, optimize them, monitor performance, and collaborate with teams to enhance products and services.

As a Principal AI Platform Engineer, you will design, develop, and operate core components of the AI platform, manage MLOps pipelines, and ensure quality AI workloads with a focus on LLM tooling and infrastructure.

Leading the architectural design for Dell's AI platform, mentoring engineers, driving technical execution of projects, and evaluating new technologies.

As a Senior Backend Engineer, you will design and maintain backend services, implement security systems, and ensure stability for an AI-driven platform.

Assist in software development, testing, and documentation for AI/LLM initiative. Provide user support and collaborate with teams on technical issues.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.