Top AI Jobs in Singapore

As an AI Forward Deployed Engineer, you will engage with clients to solve business challenges using AI solutions, manage the deployment lifecycle, and ensure solution integrity while fostering client relationships and delivering measurable business outcomes.

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 Researcher will conduct insurance-related AI research, develop prototypes, lead technical guidance, and publish findings while promoting AI innovation at Manulife.

As a Video AI Engineer, you will develop and optimize video processing applications, research algorithms, and integrate deep learning models for Zoom's video pipeline.

The Developer Relations Manager for Robotics and Generative AI will collaborate with developers, integrate GPU solutions, and identify adoption barriers in AI. Responsibilities include project management, building networks, and driving product adoption in AI workflows.

Manage, optimize, and monitor large-scale AI computing clusters. Collaborate on upgrades, ensure high availability, and document processes.

Lead the design and implementation of enterprise AI solutions, focusing on governance, compliance, and technical strategy, working across cloud platforms.

As a Product & AI Engagement Trainee, you will boost user engagement through experiments, analyze behavior, support partner integration, and conduct user research for product improvement.

The Principal AI Engineer will design and deploy deep learning models, develop AI solutions for security, and mentor junior engineers. Responsibilities include fraud detection, compliance automation, and multimodal analysis, integrating AI into large-scale systems.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

As a Product Manager at Wing, you will lead product development from concept to launch, collaborate across teams, and focus on user feedback and marketing strategies.

Design, develop, and maintain scalable applications. Focus on system architecture, CI/CD pipelines, cloud infrastructure, and automation to improve operations and processes.

As a Principal Architect - AI Engineering, you will lead the development of AI systems, design ML pipelines, mentor engineers, and ensure compliance with industry regulations.

The AI Machine Learning Principal Engineer will develop scalable machine learning models and collaborate with stakeholders to ensure product compliance with global regulations.

Manage AI projects by allocating work, ensuring compliance with global regulations, and maintaining project documentation. Collaborate with teams to drive improvements.

Lead design and deployment of advanced AI systems, optimize performance, guide best practices, and evaluate new AI tools in production environments.

The Senior Business Intelligence Analyst will gather and analyze data for improving wafer output performance, lead projects, and integrate AI solutions.

As an AI Research Engineering Intern, you will research generative models, design algorithms for video generation, and collaborate with teams to enhance HeyGen's platform.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

The Applied AI Engineer will collaborate with customers to implement AI solutions, develop full-stack applications, and enhance product capabilities through feedback.

The AI Research Scientist will conduct research in AI, develop large-scale solutions, and lead teams on complex projects while publishing in top conferences.

Lead AI pilots for global customers, focusing on technical architecture, scope delivery, and aligning AI solutions with business outcomes. Manage stakeholder communication and interface with engineering for product feedback.

The role involves developing analytics solutions using AI, collaborating with analysts, integrating data for analysis, and enhancing Generative AI applications. Candidates will create dashboards and manage projects based on business objectives.

As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.

This role involves managing trading operations, developing AI workflows for automation and risk modeling, and ensuring data integrity in trading processes.