Design, develop, and maintain large language models for advanced agent systems.
Stay up-to-date and implement cutting-edge machine learning techniques and technologies to enhance agent capabilities.
Architect and execute data collection solutions, including gathering and preprocessing high-quality datasets for model fine-tuning and evaluation.
Review code from team members, providing feedback to ensure quality standards in style, integration, accuracy, testability, and performance.
Transform innovative research concepts into practical, real-world applications.
Requirements:
Master's degree or PhD degree in Computer Science or a related technical field.
Published research papers or significant contributions to the LLM community like open-source models.
Strong programming expertise in Python and/or C , with extensive experience in deep learning frameworks (PyTorch, DeepSpeed, Megatron), and Large Language Models (LLMs)
Minimum 3 years of experience implementing Machine Learning/Artificial Intelligence (ML/AI) algorithms and tools or natural language processing
Experience testing, maintaining or launching software products, and with software design and architecture.
(Preferred) Experience in a technical leadership role.
(Preferred) Specialized expertise in inference optimization and acceleration, including deep knowledge of GPU architecture and AI accelerators.
(Preferred) Proficiency with large-scale ML systems orchestration using Kubernetes and cloud-native technologies.
(Preferred) Experience with the design of distributed infrastructure systems, software development with code review, functional and performance testing, reliability, and high availability.
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Skills Library
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Singapore, Singapore
Full Time