Top AI Jobs in Singapore

The AI Success Engineer in Singapore guides major clients in deploying and maximizing the value of OpenAI technologies through strong technical relationships, project management, and strategic advisory roles.

Develop AI systems for 3D and video generation, conduct research in computer vision and graphics, collaborate with teams, and apply innovative AI techniques.

The role involves researching and optimizing multimodal generative models, improving user experience, and addressing algorithm deployment challenges in real business scenarios.

The Senior AI Engineer will integrate and scale AI tools, develop internal models, and collaborate with engineers to enhance Razer's AI capabilities.

The Quantitative Developer will build AI and ML models for investment strategies, collaborating across departments to implement AI solutions.

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

The role involves defining and executing the AI/GenAI program roadmap, overseeing project delivery, and managing stakeholder relationships to drive AI adoption and governance compliance.

Lead integration of AI, data, and martech into OceanX marketing. Drive B2B demand generation, full-funnel attribution, ABM, CRO, and AI-enabled automation. Manage budget, mentor a data-savvy team, and report performance to executives and the board.

The Research Engineer will build environments for evaluation datasets, deliver custom datasets, and improve the evaluation harness based on skills and interests.

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.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.

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

Senior AI Developers design and implement software solutions, advocate for best practices, mentor junior staff, and utilize AI technologies to solve complex problems.

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

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

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 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.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

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.

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.

Lead global strategy and execution for AI/data center infrastructure—acquire and deploy GPU clusters, manage vendor and client relationships, drive site selection and EPC projects, develop commercial and technical roadmaps, and lead infrastructure teams to ensure operational excellence and performance monitoring.

The Senior AI Engineer will develop and deploy generative AI solutions in healthcare, focusing on system integration, deep learning algorithms, and large language models.