Top AI Jobs in Singapore

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

The role involves solving complex customer issues, providing technical guidance, using automation for internal tools, and collaborating with other teams to enhance customer experience.

Intern will assist the engineering team in optimizing blockchain data queries and contribute to AI initiatives at Allium. Expect to learn from experienced engineers and gain hands-on experience.

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

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

The AI Scientist will develop frameworks to evaluate and audit Reinforcement Learning systems, ensuring safety and performance while leveraging advanced ML techniques.

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

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

The AI and ML Solution Architect designs and implements AI/ML solutions, collaborates with teams, and improves product performance through advanced algorithms.

The Senior Product Manager will define and execute AI workflow automation strategies, collaborate with cross-functional teams, and drive AI product adoption to improve operational efficiency and decision-making.

The Product Manager for AI Trading will define and ship AI features, manage the product lifecycle, and collaborate cross-functionally, focusing on user experience in crypto trading products.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

Build and deploy AI applications, collaborate with clients, solve technical issues, provide guidance, and ensure ethical standards in AI development.

The role involves designing, building, and deploying AI applications, particularly large language models, while leading teams and advising clients on AI solutions.

As an Entry-Level RPA & AI Engineer, you will collaborate with stakeholders to develop AI-RPA solutions, prototype automated workflows, and ensure integration with existing processes while monitoring performance and providing user training.

The Senior AI Engineer (Agents) will design, develop, and optimize AI and ML products, focusing on LLMs and automated systems, while collaborating with teams for integration and building production-grade pipelines.

Develop and deploy AI and ML solutions, design microservices architectures, mentor teams, and lead technical discussions to innovate AI applications.

Lead product marketing for Razer's AI software products, developing strategies, messaging, and marketing campaigns to drive awareness and adoption globally.

As an AI Success Strategist, you will lead AI adoption for enterprise clients, designing strategies to ensure effective implementation and customer satisfaction, while bridging technical and business needs.

The Applied AI Engineer will deploy AI solutions for clients, work on GenAI applications, manage stakeholder relations, and collaborate on product improvements.

The role involves researching and optimizing generative models across various media types, focusing on improving performance and user experience in AI applications.

As a Machine Learning Engineer, you will develop AI solutions to enhance marketing and sales through collaboration with teams, deploying ML models, and optimizing AI systems.

The role involves leading data-driven projects to optimize industrial processes, manage a data science team, and ensure effective stakeholder engagement for innovation.