Senior Machine Learning Ops Engineer

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

Senior Machine Learning Ops Engineer page is loaded## Senior Machine Learning Ops Engineerlocations: Singaporetime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JOBREQ-0003568Ensign is hiring !**Key Responsibilities**- Own the design, development, maintenance, and evolution of the in-house AIOps / ML / LLM platform, including related cloud and on-premise 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.**Qualifications / Requirements**- 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, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops.- Strong development experience in Python, with working proficiency in Go and C++ for reading, debugging, maintaining, and extending existing production codebases.- Strong Linux, networking, and Kubernetes fundamentals, including production troubleshooting, service connectivity, ingress, resource limits, workload debugging, and deployment operations.- Experience designing, deploying, and operating 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.**Good to Have**- Deep experience operating Kubernetes in bare-metal, air-gapped, or restricted on-premise environments.- Experience with MLflow, Kubeflow, vLLM, TensorRT, TGI, or similar ML / LLM platform tools.- Exposure to TypeScript / React or Java-based services.**About Ensign InfoSecurity**Ensign InfoSecurity is the largest pure-play cybersecurity service provider in Asia. The company is headquartered in Singapore. We specialise in the provision of these services; cybersecurity advisory and assurance, implementation and management of advanced cybersecurity controls, cybersecurity monitoring, threat hunting, and incident response. Underpinning these competencies is in-house research and development in cybersecurity.We are a technology company with warmth and soul. We are ambitious, propelled by our vision to be the cyber defender of choice, and fueled by the dedication and camaraderie of individuals who are eager to make a difference, and leave their footprints in the industry.If you are a self-motivated curious go-getter, we want You! Join Us!