Senior ML Ops Architect: Deploy & Scale AI Platforms

Ensign InfoSecurity; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

Ensign InfoSecurity, a leading cybersecurity services provider based in Singapore, is seeking a Senior ML Ops Engineer to own and evolve an in-house AIOps/ML/LLM platform. You will translate security and client requirements into scalable platform designs and operate end-to-end ML/LLM workflows in production.

The role demands deep Python development, solid Linux/Kubernetes expertise, and experience deploying on cloud or on-premise environments.

Qualifications

• Strong software/platform engineering fundamentals including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.
• Practical understanding of the ML/LLM lifecycle: data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.
• Experience in Python development with reading/maintaining Go/C++ production codebases.
• Solid Linux, networking, and Kubernetes fundamentals with production troubleshooting.
• Experience deploying production platforms on AWS/Azure/GCP or on-premise environments.
• Experience building CI/CD, automation, and MLOps/LLMOps workflows for production ML/LLM systems.
• Strong communication skills and ability to work with AI, deployment, infrastructure, and security teams.

Responsibilities

• Own the design, development, maintenance, and evolution of the in-house AIOps/ML/LLM platform, including cloud and on-prem Kubernetes solutions.
• Translate client, security, compliance, and internal requirements into practical platform designs with cross-functional teams.
• Build and operate production ML/LLM workflows, including retraining, deployment, inference serving, monitoring, rollback, and optimisation.
• Troubleshoot production issues across application, infrastructure, networking, Linux, Kubernetes, and ML serving layers.

Skills

Python

Go

C++

Linux

Kubernetes

AWS

Azure

GCP

CI/CD

MLOps

LLMOps

API design

Security

Tools

MLflow

Kubeflow

TensorRT

vLLM

TGI

TypeScript

React

Java

Job description

Ensign InfoSecurity, a leading cybersecurity services provider based in Singapore, is seeking a Senior ML Ops Engineer to own and evolve an in-house AIOps/ML/LLM platform. You will translate security and client requirements into scalable platform designs and operate end-to-end ML/LLM workflows in production.

The role demands deep Python development, solid Linux/Kubernetes expertise, and experience deploying on cloud or on-premise environments.