Top Machine Learning Jobs in Singapore

Designs and builds technical GTM experiments, demo applications, and integrations while collaborating with the founding team and early adopters. The role emphasizes fast iteration and collecting feedback.

Lead a team in defect analysis technology development, focusing on identifying issues and collaborating across teams to enhance inspection processes.

Lead the integration of 3D NAND technology, develop technology roadmaps, and drive innovative solutions through cross-functional collaboration and experimentation.

The Software Developer will design and implement low-latency trading systems, optimize algorithms, and assist in building tools for market data analysis.

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

As a Senior/Principal Machine Learning Engineer, you will develop ML models for self-driving vehicles, mentor others, and tackle complex technical challenges.

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

Lead the development and deployment of ML models, mentor engineers, and enhance mining farm efficiency using AI/ML techniques.

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.

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 ML Integration Engineer will design and implement scalable ML pipelines, integrate AI models, and optimize system performance while ensuring security in cloud environments.

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

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

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