Principal Data Scientist (NLP)

Global Technology-Driven Organization in Singapore
Principal-Level Individual Contributor / Technical Leader
Hands-on NLP, LLM, RAG & AI Automation Position

Our client is a global Supply Chain Solution provider and is now building a new Global Engineering Organization in Singapore to strengthen internal software delivery, improve production ownership, and build long-term engineering capability. They are now looking for a Principal NLP Scientist to serve as a senior technical leader responsible for designing, researching, and improving advanced Natural Language Processing and Large Language Model capabilities for production business systems.

This role combines applied research, hands-on model development, technical architecture, and practical product impact. The successful candidate will lead the design of NLP solutions for named entity recognition, text classification, text generation, semantic search, information extraction, and other language-driven automation use cases.

Requirement:
PhD or Master in Computer Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Applied Mathematics, Data Science, or a closely related technical field.
At least 8 years of professional experience in machine learning, artificial intelligence, or NLP.
At least 5 years of hands-on experience building NLP models for production or near-production systems.
Deep understanding of modern neural network architectures, including RNN, CNN, Transformer-based architectures, attention mechanisms, embeddings, fine-tuning strategies, layers, modules, and loss functions.
Strong practical experience with NLP tasks such as NER, classification, text generation, semantic similarity, information extraction, and document understanding.
Strong experience with Large Language Models, including model evaluation, prompt design, fine-tuning, retrieval-augmented generation, and safe production usage.
Practical understanding of RAG, GraphRAG, knowledge graphs, embeddings, and hybrid retrieval approaches for production LLM applications.
Strong hands-on experience with Python, PyTorch, and Hugging Face Transformers.
Experience with ONNX or other model optimization / model serving formats.
Strong understanding of data preparation, data quality, labeling workflows, annotation guidelines, and model evaluation metrics.
Practical experience with Pandas, NumPy, SciPy, scikit-learn, Matplotlib, SQL databases, and structured business data.
Experience with cloud platforms such as Microsoft Azure or AWS.
Ability to design experiments, define success metrics, compare model approaches, and explain trade-offs clearly.
Applicants MUST BE currently based in Singapore and has relevant work experience in Singapore.

NOTE: Please attach your latest resume. Applications without a resume will not be processed. All applications will be treated with strictest confidentiality.

Chua Keow Por | Reg. #:R1105253 | Hudson Global Resources (Singapore) Pte Ltd | EA Licence #:18S9265