Machine Learning Expert - Singapore

Job summary

We are looking for experienced Machine Learning Engineers with strong expertise in Large Language Models (LLMs) to join a high-impact AI team. This role will focus on driving innovation in LLM experimentation, training, and deployment, optimizing end-to-end model performance for real-world applications across diverse domains.

Responsibilities

• Lead the development and optimization of large-scale pre-training language models, including model architecture design, parallel training strategies, and performance enhancement.
• Research and implement advanced LLM post-training methods such as chain-of-thought tuning, preference alignment, and reinforcement learning for reasoning.
• Build and refine data pipelines for model training, including data de-duplication, cleaning, and quality verification.
• Design and implement efficient model deployment solutions with a focus on inference optimization and large-scale serving.

Qualifications

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• At least 5 years of hands-on experience in machine learning, with a strong focus on NLP and LLMs.
• Deep understanding of Transformer architectures and modern LLM frameworks (e.g., BERT, GPT, T5).
• Extensive experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).
• Proficiency in Python and familiarity with common ML tooling (e.g., Hugging Face, DeepSpeed).

Job description