Top AI & Machine Learning Jobs in Singapore

Develop scalable backend services and APIs that integrate generative AI capabilities, LLMs, and machine learning models. Build microservices, data flows, caching, and secure integrations while ensuring reliability through testing, monitoring, observability, and performance optimization. Collaborate with product, design, data science, and ML engineering teams in an agile environment. Mentor junior engineers, conduct code reviews, improve CI/CD practices, and contribute to evolving R&D initiatives.

Design, develop, and productionize scalable AI/ML systems, including data and feature pipelines, model deployment, monitoring, drift detection, retraining, and lifecycle management. Automate MLOps workflows, ensure reliability and responsible AI, optimize model performance, and build production-grade AI services and APIs. Partner with product, data science, and platform teams, lead smaller initiatives, review designs and code, and mentor junior engineers.

Lead the strategy, architecture, product development, and enterprise adoption of agentic AI systems for digital payments. Define roadmaps, agent workflows, KPIs, governance, safety guardrails, and human oversight. Partner with engineering, product, operations, legal, risk, and business teams to deliver scalable AI agents, automate workflows, conduct pilots, and drive adoption across markets.

Lead the design, prototyping, development, deployment, and integration of generative AI solutions, including LLMs and GANs. Provide hands-on technical leadership, guide software development practices, mentor engineers, collaborate with product and research teams, and explore emerging technologies such as multimodal AI, agent automation, and retrieval-augmented generation.

Lead regional commercialisation and deployment of AI-powered SME solutions across APAC. Act as APAC subject-matter expert on LLMs and agentic AI, translate customer needs into product requirements, run pilots and go-to-market strategies, and drive adoption through cross-functional collaboration with product, engineering, sales, and partners.