Top Machine Learning Jobs in Singapore

Lead design, implementation, and productionization of enterprise AI solutions on Red Hat AI Platform and OpenShift across APAC. Deliver end-to-end AI workloads (data pipelines, training, LLM serving, inference), drive pilot-to-production, implement responsible AI controls, mentor team members, and produce architecture and operational documentation.

The Principal Machine Learning Engineer will lead efforts in deploying ML models, architecting data systems, mentoring teams, and driving project scoping with a strong focus on customer collaboration.

Drive business development for recruitment in crypto, blockchain, AI/ML, and fintech sectors: identify opportunities, build client relationships, negotiate deals, collaborate with recruiters, participate in 360 recruitment, and track performance metrics to grow accounts and revenue.

Apply and adapt the COSMOS framework to new scientific datasets, collaborate with domain experts to interpret discovered motifs and co-develop mechanistic hypotheses, guide data structuring and labeling, advise experimental planning, and build reusable ML pipelines for deployment across domains.

As a Machine Learning Engineer, you will develop AI solutions to enhance marketing and sales through collaboration with teams, deploying ML models, and optimizing AI systems.

As a Research Scientist-1, you will contribute to AI solutions, analyze data, write research papers, and collaborate with a diverse team.

Design, build, deploy, and optimize ML and AI solutions—including LLMs, RAG, multi-agent systems and function-calling—evaluate performance, test prompts, integrate models into production, and collaborate with cross-functional teams in a DevOps environment.

Design, build, deploy, and optimize scalable machine learning and AI solutions including LLMs, RAG systems and multi-agent/agentic workflows. Integrate models into production, evaluate performance, test prompts and few-shot examples, collaborate with cross-functional teams, and participate in code reviews, debugging and DevOps practices while adhering to regulatory and risk standards.

The intern will conduct research on driving behavior, collaborate across teams, utilize large datasets, and publish results related to Machine Learning.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Regional Business Actuary will drive growth in GrabInsure by managing product pricing, data analysis, risk assessment, and partnerships while ensuring compliance and reporting.

As a Principal Machine Learning Engineer, you will lead a team, develop scalable machine learning solutions, and enhance ad serving efficiency for Grab's ads business.

Design and implement large-scale simulation platforms utilizing machine learning and advanced modeling to enhance marketplace efficiency and driver opportunities at Grab.