Top AI Jobs in Singapore

The Sr AI Engineer will research and implement advanced techniques in Large Language Models and Generative AI, collaborate with teams to design AI projects, enhance model performance, and provide mentorship. Responsibilities include contributing to research publications and integrating AI solutions into applications.

The Applied AI Research Scientist will drive innovation in sustainability within the built environment by developing AI/ML solutions focused on energy use, thermal comfort, and air quality. The role involves co-creating with business units, conducting customer interviews, developing prototypes, and engaging in research collaborations.

This role involves applying innovative AI and automation solutions in the context of clinical trials to enhance efficiency and efficacy. The engineer will work with a diverse team to initiate transformative changes and deliver impactful results in healthcare.

The Principal Software Engineer will lead the development of advanced search solutions at Walmart, utilizing technologies like Elastic Search and OpenAI. Responsibilities include architectural planning, project leadership, collaboration with cross-functional teams, and guiding junior engineers while ensuring code quality through test-driven practices.

The Full Stack Engineer will develop an AI-powered agency management system, focusing on frontend and backend components, integrating AI models, ensuring system scalability and security, and collaborating with cross-functional teams.

The Software Engineer (AI/ML) is responsible for both front and back end programming, designing application architecture, and ensuring application performance and integration with various frameworks. They will collaborate with teams to deliver projects from conception to completion and explore new technologies within Industry 4.0 digital solutions.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.