Top AI & Machine Learning Jobs in Singapore

As a Lead AI Engineer, you will lead AI innovation, develop AI solutions, guide a team through development, and ensure model deployment in production. You will collaborate with cross-functional teams and stay on top of AI trends.

Drive innovation in AI solutions by architecting scalable systems, collaborating with teams, and ensuring best practices in AI development. Lead technical design and implementation efforts.

The Senior Analyst will conduct economic analysis, develop econometric models, monitor macroeconomic trends, and provide insights using data science techniques.

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

Lead the development of deep learning architectures and systems, optimizing models for performance and collaborating with product and engineering teams.

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.

Develop backend services for AI features, integrate generative AI technologies, ensure performance and reliability, and mentor junior engineers.

As a Lead Data Scientist, you'll develop data science models to combat financial crime, collaborate with regional teams, and engage in product design and client interactions.

As a Director of Data Science at Mastercard, you will lead financial crime modeling efforts, engaging with teams and stakeholders to ensure effective solutions that meet customer and regulatory needs. You will represent Mastercard at industry events and contribute to white papers, while collaborating with global teams to align methodologies.