Top AI Jobs in Singapore

The Full Stack Engineer will develop AI-driven features, design workflows, ensure system reliability, and collaborate with cross-functional teams to integrate AI capabilities into chat applications.

The AI/ML Architect will guide customers in implementing AI solutions on AWS, manage project delivery, and mentor other technical staff, requiring strong expertise in machine learning and AWS services.

The role involves researching and designing generative AI models, publishing research, mentoring interns, and collaborating with teams and external researchers.

Lead the development of autonomous AI agents, optimizing workflows and integration systems, while ensuring reliability in production environments.

As an AI Application Engineer, you will debug and improve platforms, develop AI tools and proof-of-concepts, and collaborate across teams to enhance AI systems.

As an AI Solutions Manager, you will drive customer adoption of AI technologies, build relationships, conduct discovery, and collaborate with technical teams to address customer needs, focusing on measurable business outcomes.

Develop AI solutions leveraging LLMs, lead development lifecycle, build scalable systems, collaborate across teams, and present to stakeholders.

The Research Scientist will develop AI models for real-time graphics improvement, work on large-scale training, and collaborate with product teams to implement innovative features in gaming and graphics.

Assist Data & AI team in operations and project development, analyze data, develop analytics solutions, and collaborate on AI applications.

The Account Executive is responsible for managing key accounts, growing revenue, and enhancing customer relationships by understanding client needs and aligning SUSE's offerings to meet those needs.

The AI Engineer will develop Generative AI and Large Language Model solutions for supply chain operations, ensuring reliability and adoption. Responsibilities include designing applications, defining architectures, coordinating user testing, and promoting low-code usage.

The AI Solutions Architect will lead AI strategy, design AI architectures, assess AI opportunities, build AI solutions, and ensure compliance with governance frameworks.

The Product Engineer will develop and integrate robotics and AI solutions for semiconductor applications, focusing on robotic systems, machine vision, and automation. Responsibilities include leading robotic use case development, collaborating with teams, and contributing to product deployment.

The Senior AI Researcher will conduct insurance-related AI research, develop prototypes, lead technical guidance, and publish findings while promoting AI innovation at Manulife.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

Lead audit engagements focusing on data and AI governance. Assess frameworks, manage risks, and collaborate with stakeholders to drive audit quality. Foster innovation in audit processes.

Develop and optimize machine learning algorithms, train and evaluate AI models, preprocess data, collaborate on deployment, and drive research innovations in AI.

The Senior AI Cloud Product Manager will define and execute a cloud infrastructure and AI platform strategy, manage product roadmaps, gather user requirements, track key performance indicators, and lead product vision for AI-native offerings.

Drive AI infrastructure growth by exceeding sales objectives in strategic accounts, utilizing consultative solution selling and targeting AI-native solutions. Collaborate with executives and technical teams to optimize architectures for AI workloads.

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

The Senior Director of Illumina Digital Services leads technology strategy and operational excellence for Manufacturing and R&D in Singapore, ensuring compliance and alignment with enterprise goals, while overseeing a large team and budget.

This role involves designing and deploying AI/ML infrastructures using Snowflake, working with customers on technical solutions, and presenting to diverse audiences.

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

As an AI Engineer, you will build and deploy AI solutions, work with data preparation, integrate models into applications, and collaborate with teams to solve business problems using AI.