# Senior Consultant Specialist (Model Hosting/Inference Optimization)

**Company**: HSBC
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774611491345?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c2e88f79-975

## Description

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist.

Principal responsibilities:

- Design, build, and operate scalable, reliable model hosting platforms for LLMs, embeddings, and STT/TTS across heterogeneous hardware.

- Drive inference optimisation for latency, throughput, and cost (quantisation, KV-cache optimisation, dynamic/continuous batching).

- Evaluate, integrate, and tailor inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to maximise performance on target hardware.

- Own inference health and performance monitoring: latency, throughput, TTFT, memory, availability; troubleshoot bottlenecks and deployment issues.

- Partner with hardware teams to apply hardware-specific optimisations and improve resource utilisation.

- Ensure hosting systems meet production standards for reliability, scalability, security, and high availability.

- Build end-to-end, scalable fine-tuning pipelines to adapt foundation models using domain datasets.

- Work with data scientists/domain experts to define objectives and metrics, validate results, and integrate fine-tuned models into the hosting/inference stack.

Requirements:

- Bachelor’s/Master’s/PhD in ML/NLP/CS/Data Science/Statistics (or related).

- 3 years on AI platforms, covering both model hosting/inference optimisation and fine-tuning pipelines; LLM experience strongly preferred.

- Strong engineering skills in Python and CUDA, with solid understanding of GPU/CPU architecture and HPC fundamentals.

- Deep inference expertise: KV-cache, batching, quantisation (INT4/FP8/GPTQ/AWQ), operator optimisation, and framework integration (vLLM, TensorRT-LLM, SGLang); hands-on hosting on Docker/Kubernetes and AWS/GCP/Azure.

- End-to-end fine-tuning expertise: data prep, distributed training, hyperparameter tuning, HF/Accelerate/LoRA/QLoRA; plus benchmarking/monitoring/troubleshooting, AI-native mindset, and effective use of coding assistants.

## Skills

### Required
- Python
- CUDA
- GPU/CPU architecture
- HPC fundamentals
- vLLM
- TensorRT-LLM
- SGLang
- Docker/Kubernetes
- AWS/GCP/Azure

### Nice to have
- LLM
- AI platforms
- model hosting/inference optimisation
- fine-tuning pipelines

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774611491345?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)