LLM Engineer: Data-Driven Optimization & Deployment

TCL Corporate Research(HK) Co., Ltd; Hong Kong; Hybrid; HKD 900,000 - 1,300,000; Full time

Job summary

TCL Corporate Research(HK) Co., Ltd invites applications for a Large Model Algorithm Engineer to advance research and development of large language models and multimodal models for industrial applications. You will train, fine-tune, and deploy models, while improving inference efficiency and workflow integration.

The role emphasizes collaboration with academia, cutting-edge compression techniques, and building scalable model platforms for real-world deployment in industrial verticals.

Qualifications

• Master’s degree or higher in Mathematics, Electrical Engineering, Computer Science, Data Science, or a related field is preferred.
• Proficient in machine learning, deep learning, and Transformer architecture, with hands-on experience in end-to-end training and development of large models.
• Familiar with large model compression and optimization methods such as pruning, quantization, and knowledge distillation.
• Strong data processing capabilities with big data tools; experience in data preprocessing, cleaning, and building training datasets.
• Proficient in Python, C/C++, and Linux programming, with solid algorithms and data structures knowledge.
• Familiar with PyTorch, Hugging Face, DeepSpeed, PEFT, vLLM, TRL, and related frameworks.
• Knowledge of Triton or high-performance inference tools, with deployment optimization experience.
• Proficient in Docker and Linux shell scripting; FastAPI development is a plus.
• Experience in enterprise-level large model development, optimization, deployment, and tooling is preferred.
• Strong teamwork and communication skills and curiosity about cutting-edge model technologies.

Responsibilities

• Train, fine-tune (SFT), and deploy vertical domain large models for industrial applications.
• Research and implement compression and optimization techniques to improve inference efficiency.
• Contribute to RAG and Agent modules to enhance reasoning in dynamic environments.
• Apply multimodal understanding to optimize Large Vision Models in industrial settings.
• Translate business rules into efficient workflow code and contribute to Agentic Workflow design.
• Build industry datasets and prepare training/evaluation datasets.
• Explore large model merging techniques for collaborative optimization.
• Develop validation, evaluation, and performance monitoring for large models.
• Develop and optimize large model application platforms (microservices) for modularity and usability.

Skills

Machine Learning

Deep Learning

Transformer

Python

C/C++

Linux

Docker

PyTorch

Hugging Face

DeepSpeed

PEFT

vLLM

TRL

CUDA

FastAPI

Education

Master’s degree or higher in Mathematics, Electrical Engineering, Computer Science, Data Science, or a related field

Tools

Hadoop

Spark

Job description

TCL Corporate Research(HK) Co., Ltd invites applications for a Large Model Algorithm Engineer to advance research and development of large language models and multimodal models for industrial applications. You will train, fine-tune, and deploy models, while improving inference efficiency and workflow integration.

The role emphasizes collaboration with academia, cutting-edge compression techniques, and building scalable model platforms for real-world deployment in industrial verticals.