AI Engineer (AI Products)
Core
Develop, train, fine-tune, and evaluate multilingual, multicultural, and multimodal foundation Large Language Models (LLMs) for real-world AI applications in Singapore and the region.
Role type
Senior IC machine-learning engineer (multilingual LLMs)
Builds
Scalable data pipelines, distributed model training workflows, and reusable engineering assets for LLMs
Domain
Artificial Intelligence / Natural Language Processing / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch, Hugging Face ecosystem (Transformers, Datasets, Tokenizers, Accelerate, TRL), distributed training, GPU-based training, MLOps, Linux, Docker, CI/CD, vLLM, SGLang, TGI
Preferred skills
Multilingual NLP expertise (low-resource languages, code-switching), model adaptation, preference optimisation, experiment tracking, compute optimisation
Technologies
PyTorch, Hugging Face, vLLM, SGLang, TGI, Docker, Linux, GPU/HPC clusters
Responsibilities
Develop and evaluate multilingual foundation LLMs; Build scalable data pipelines for text ingestion and cleaning; Support large-scale distributed model training workflows; Review and reproduce frontier AI research papers; Contribute to reusable engineering assets; Collaborate with internal and external stakeholders on LLM development
Seniority
Senior, hands-on IC
