Top AI Jobs in Singapore

The Staff Product Manager will lead the strategy and execution of AI-powered financial products, collaborating with various teams to ensure innovation and compliance while mentoring other product managers.

The role involves supporting equipment readiness, performing maintenance, troubleshooting equipment, and improving manufacturing productivity while coaching Associate Engineers.

As an intern, apply data analytics and machine learning to analyze semiconductor data, build models, and communicate insights to teams.

The Principal AI Engineer leads the design and operationalization of complex AI systems, architecting multi-agent solutions while ensuring safety, reliability, and performance. They mentor engineers and improve processes and products based on measurable outcomes.

The Senior Analyst will support system enhancements in Claims Operations, analyzing processes, facilitating user requirements, and executing user acceptance testing.

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 Senior Executive will manage participant communications, screening, data monitoring, report submissions, and adherence to study protocols in clinical research.

As a Process Integration Engineer, you will optimize semiconductor processes, troubleshoot issues, and manage the introduction of new products to improve yield and quality.

Assist the Digital & Technology team by advancing AI fluency, translating business needs into AI use cases, and developing solutions using Microsoft Power Platform. Support workshops, documentation, and team processes while working collaboratively within diverse markets.

Lead a team of data scientists to develop and deploy AI-driven solutions, ensuring the delivery of analytics in manufacturing and supply chain operations.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

The Assistant Director will lead technology capability development, oversee AI initiatives, foster industry partnerships, and drive business growth through innovative solutions.

The Solution Development Executive will drive sales for enterprise-level digital solutions, collaborating with teams to meet customer needs and leading negotiations.

The role involves architecting and optimizing AI models on GPU clusters for manufacturing processes, collaborating with multidisciplinary teams, and mentoring engineers.

As an AI/Data Science Intern in NAND Device Engineering, you will develop AI-driven automation workflows, intelligent decision-support tools, and data pipelines to enhance engineering processes in NAND technology.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

As a Credit Risk Specialist, you will design credit risk management solutions, analyze data to develop strategies, and oversee compliance with regulations.

Seeking a strategic Program Manager to deliver complex cross-functional initiatives, oversee program delivery, manage risks, and ensure stakeholder alignment.

The Senior AI Engineer designs and develops scalable AI/ML systems, operationalizes models, ensures reliability and observability, and mentors junior engineers.

As a Senior AI Engineer, you will develop AI solutions to enhance customer support and internal efficiency, design APIs, and collaborate with teams in a fast-paced environment.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

The Engineering Manager will lead the AI Platform team, develop strategies for AI innovation, mentor engineers, and ensure high-quality AI services.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.