Top AI Jobs in Singapore

Seeking a self-motivated AI Engineer to research, develop, and implement state-of-the-art techniques in Large Language Models and Generative AI. Responsibilities include collaborating with cross-functional teams, staying updated with AI advancements, providing technical leadership, and integrating AI solutions into real-world applications.

Join Nansen as a Senior AI/ML Engineer to develop and monitor AI models for analyzing blockchain data, influencing decision-making for crypto investors, and advancing the platform's capabilities.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

Seeking a Solutions Architect with expertise in AI/ML and cloud architecture to join the AI/ML Workload Services team at Snowflake. Responsibilities include building and deploying ML pipelines, providing technical guidance, and collaborating cross-functionally to enhance Snowflake's products.

AI Scientist/Engineer position at OKX, a leading cryptocurrency exchange. Responsibilities include working on large-scale data sets, collaborating with stakeholders, and delivering machine learning projects. Requires a Bachelor's degree in a quantitative field and experience in an analytical or data scientist role. Proficiency in SQL is a must.

Own large new areas within our data management software, and build them from ground up. Participate in the entire product lifecycle from concept through production. Be able, and willing, to multi-task and learn new technologies quickly.

Design, implement, and maintain full-stack components, collaborate with machine learning engineers, implement CI/CD pipelines, design and implement RESTful APIs, and work in a cloud-first environment.

Seeking an experienced Lead Engineer to implement cutting-edge AI technologies for fraud detection systems, specifically focusing on transformer models. Responsibilities include developing and deploying AI models, analyzing user behavior patterns, collaborating with data engineering teams, and continuously evaluating model performance. The ideal candidate will have a minimum of 10 years of experience in technology companies with at least 5 years in fraud detection/prevention using AI and machine learning technologies.