Top AI Jobs in Singapore

The Technical Lead will design, implement, and maintain cloud infrastructure, provide technical leadership, and ensure optimization and security of cloud services.

Lead the development of testing frameworks and tools for algorithm validation, mentor junior engineers, and enhance testing processes using AI and deep learning techniques.

Lead the architecture and development of scalable AI pipelines and APIs, optimize models for performance, and oversee AI testing frameworks.

The AI Engineer will design, develop, and maintain scalable AI/ML systems, analyze data, and collaborate with cross-functional teams to enhance healthcare solutions.

The Forward Deployed Engineer will create tailored software solutions, collaborate with clients on-site, and resolve domain-specific engineering challenges using advanced technology platforms.

The role involves supporting AI/LLM initiative projects through development, testing, and deployment of software, with a focus on Python and user assistance.

Lead the AI OSS Ecosystem team, developing MLOps platforms, mentoring engineers, and collaborating with the AI/ML community to drive AIOps advancements.

Lead the AI team at Goodnotes, overseeing the development of AI capabilities, managing engineers, and ensuring project quality and team growth.

As an AI Technical Solutions Lead, you'll develop scalable back-end systems utilizing AI technologies, collaborate with teams, and optimize applications for performance.

The HPC Systems Manager will manage and mentor teams while overseeing the execution of HPC projects, collaborating with various teams to deliver optimal infrastructure solutions.

The Senior Platform Engineer is responsible for architecting and maintaining scalable AI and Data Platforms, designing data pipelines, and integrating GenAI workflows.

Develop and implement advanced computer vision technologies for biometric security, including deepfake detection and OCR solutions. Collaborate with teams for scalable implementations and stay updated on industry trends.

Lead the development and optimization of large-scale recommendation algorithms, enhance machine learning models, and improve user engagement through personalized experiences.

Lead the implementation of AI technologies to detect and prevent fraud. Develop models, enhance data inputs, and support team learning in AI.

Develop and implement advanced NLP techniques and large language models for AI-driven content generation, focusing on SEO optimization and chatbots.

The AI Backend Engineer will develop scalable backend systems, collaborate with frontend teams, and mentor junior engineers while promoting technical excellence.

This role involves conducting generative AI research, designing agent architectures, running experiments, data engineering for LLMs, and integrating models with multi-modal capabilities.