Top Machine Learning Jobs in Singapore

Develop and optimize large-scale pre-training language models, implement advanced LLM techniques, and collaborate with teams for deployment solutions.

Lead a cross-functional team to develop and implement AI products, focusing on Large Language Models and enhancing client solutions.

Lead the development of innovative hardware cybersecurity AI solutions, managing cross-functional teams, and overseeing project lifecycle with a focus on risk management and customer needs.

The role involves transforming MRO operations through technology, leading projects, collaborating with teams, ensuring safety, and implementing procedures across regions.

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

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

The Applied AI Engineer will onboard customers, manage technical collaborations, deploy LLM applications, and improve product capabilities based on feedback.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

This role involves designing, building, and deploying core components of ML infrastructure, ensuring high scalability and reliability in handling data for autonomous vehicles.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

The Senior ML Ops Engineer develops and optimizes ML data pipelines, collaborates with cross-functional teams, benchmarks model performance, and standardizes ML model management.

Develop and deploy machine learning models for perception systems in autonomous vehicles, optimize training, and collaborate on scalable solutions.