Top Machine Learning Jobs in Singapore

Design, develop, and deploy scalable machine learning models and pipelines. Preprocess and analyze large datasets, monitor model performance in production, and collaborate with data scientists, engineers, and product teams to integrate ML solutions into products.

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

As a Machine Learning Engineer, you will develop and deploy AI/ML models, work with complex data, and support project objectives within the Digital Manufacturing Group.

The Applied AI Engineer will onboard customers onto Mistral AI products, ensure effective integration, collaborate on advanced AI applications, and improve product capabilities based on user feedback.

The Senior Machine Learning Engineer will build and scale AI systems for risk management in fintech, developing and deploying ML models and collaborating with cross-functional teams.

The Senior Machine Learning Engineer will lead the deployment of ML models, mentor engineers, and influence product decisions, while collaborating directly with customers on-site to solve engineering challenges across various industries.

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.

The Senior Machine Learning Engineer will design, develop, and deploy machine learning models while collaborating with data scientists and engineers to enhance product capabilities and monitor model performance.

The Machine Learning Researcher will prototype AI/ML systems, develop models for various functions, collaborate with teams, and improve product features.

The AI and ML Solution Architect designs and implements AI/ML solutions, collaborates with teams, and improves product performance through advanced algorithms.

The intern will develop and evaluate models for autonomous driving using multi-modal sensor data and computer vision techniques, supporting planning and decision-making processes.

NVIDIA seeks a Research Scientist New Graduate in ML Systems to innovate hardware, software, and infrastructure for AI, focusing on system scalability and efficiency.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

The Senior Software Engineer will develop scalable backend systems and AI features using Python and LLMs, driving technical standards and mentorship.

The Staff Machine Learning Engineer will develop content recommendation systems, analyze playback data, and collaborate with teams to enhance user experience, requiring extensive ML product experience and model deployment skills.

Lead the development and deployment of AI/ML models, mentor junior engineers, optimize data pipelines, and define project objectives in digital manufacturing.