Top AI Engineer Jobs in Singapore

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.

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

The role involves developing AI and ML solutions for semiconductor workflows, training Citizen Data Scientists, and integrating intelligent agents into engineering processes.

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.

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.

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.

The role involves designing and deploying generative AI solutions, mentoring junior engineers, collaborating with teams, and optimizing system performance.

As a Robotics AI Engineer Intern, you'll work on humanoid robotics software features, specializing in Vision-Language Model integration, simulation environment setup, or 3D Gaussian Splatting. You'll collaborate with senior engineers, develop pipelines, and configure digital twins.

As an AI Engineer at Amity AI Labs, you'll develop PoC-grade AI solutions, turn research into practical implementations, and collaborate with subsidiary teams on AI/ML projects.

The Data & AI Engineer role involves building scalable data pipelines, analytics tools, and applying AI techniques to enhance product performance and operational efficiency in manufacturing operations.

As an Applied AI Engineer, you will develop AI features, improve model behavior, debug production issues, and collaborate on systems that deliver reliable AI solutions.

The AI Engineer will develop and deploy AI/ML solutions, focusing on large language models and machine learning to solve engineering challenges, integrating tools into existing workflows, and collaborating with various specialists.

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.

The Senior UX/AI Engineer will lead UX/UI design initiatives, utilize AI tools for design, conduct user research, and collaborate with teams to enhance user experience and usability in Acronis's products.

Develop, deploy, and evaluate AI models in production, focusing on model serving and quality frameworks while integrating AI into products.

Develop and optimize machine learning algorithms, train AI models, conduct data analysis, integrate models into systems, and drive innovations in AI technologies.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

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