Senior LLMOps Engineer: Training & Inference Platform Lead

PatSnap; Singapore; On-site; SGD 150,000 - 240,000; Full time

Job summary

PatSnap in Singapore seeks a Senior LLMOps Engineer to own and advance our model training platforms, inference services, and data management. This hands-on role combines software engineering with platform leadership, delivering reliable infrastructure and guiding AI/ML product teams.

You will optimize GPU utilization, build scalable workflows, and collaborate across security and engineering to enable company-wide AI adoption. Fluency in English is required; Chinese is a plus.

Qualifications

• 5+ years in software development, platform engineering, SRE, or MLOps.
• Strong Python programming skills for platform services and automation.
• Experience deploying open-source models and integrating external LLM APIs.
• Familiarity with Linux, Kubernetes, GPU resource management, CI/CD, and observability.
• Fluency in English; Chinese language proficiency is an advantage.

Responsibilities

• Lead the development of model training platforms and workflows, supporting resource scheduling, job management, and troubleshooting for training and fine-tuning workloads.
• Build and operate model inference capabilities, covering open-source model deployment and external LLM API integration, with centralized access, permission, quota, and request management.
• Build training data management capabilities, including dataset storage, versioning, quality checks, access control, and traceability.
• Develop supporting platforms and automation for lifecycle management, deployment, and monitoring of models, training jobs, and inference services.
• Improve GPU and compute resource utilization, and optimize the reliability, performance, and cost of training and inference workloads.
• Participate in a team on-call rotation providing 24/7 coverage for supported production services, resolve incidents, and drive continuous improvement.
• Collaborate with AI/ML, engineering, and security teams to provide platform support and technical guidance, enabling AI adoption across the company.

Skills

Python

Linux

Kubernetes

CI/CD

Observability

Platform Engineering

SRE

AI/ML tooling

Tools

Docker

Git

CI/CD pipelines

Monitoring tools

Job description

PatSnap in Singapore seeks a Senior LLMOps Engineer to own and advance our model training platforms, inference services, and data management. This hands-on role combines software engineering with platform leadership, delivering reliable infrastructure and guiding AI/ML product teams.

You will optimize GPU utilization, build scalable workflows, and collaborate across security and engineering to enable company-wide AI adoption. Fluency in English is required; Chinese is a plus.