AI-Driven DevOps Engineer | MLOps for Banking

Luxoft Singapore; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Luxoft Singapore is seeking an experienced AI DevOps Engineer to design, build, and maintain CI/CD pipelines for AI/ML deployments. You will manage Kubernetes/OpenShift platforms, containerise apps with Docker, and automate model lifecycle in a secure, regulated banking environment.

You will collaborate with AI engineers, data scientists, security, and application teams to operationalise AI workloads across cloud and container platforms, ensuring scalable, reliable delivery and strong governance.

Qualifications

• 6–10 years in DevOps, platform or cloud engineering.
• Hands-on Jenkins, GitHub/GitLab/Bitbucket.
• Experience deploying AI/ML models from Hugging Face or similar repositories.
• Docker and Kubernetes/OpenShift proficiency.
• Linux system administration experience.
• Scripting with Bash/Python.
• CI/CD pipeline automation experience.
• IaC with Terraform or Ansible.
• Knowledge of container registries (Artifactory/Nexus).
• Experience with AWS/Azure/GCP.

Responsibilities

• Design, build, and maintain CI/CD pipelines for AI/ML deployment.
• Deploy LLMs from Hugging Face into dev, UAT, prod environments.
• Automate model packaging, versioning, testing, release.
• Manage Kubernetes/OpenShift AI platforms for hosting/inference.
• Build deployment pipelines with Jenkins, GitHub Actions, GitLab CI.
• Containerise AI apps using Docker in K8s clusters.
• Integrate AI with enterprise apps via REST APIs/microservices.
• Manage model lifecycle, monitoring, and production support.
• Apply IaC for AI platform provisioning.
• Configure model serving platforms (vLLM, Ollama, Triton).
• Monitor health with Prometheus, Grafana, ELK, Dynatrace, or Splunk.
• Optimise GPU usage and troubleshoot performance.
• Collaborate with AI engineers to productionise models.
• Ensure security, governance, and banking compliance.
• Participate in production releases and incident management.

Skills

DevOps

Platform Engineering

Cloud Engineering

Linux administration

Scripting (bash/python)

CI/CD automation

Communication

Stakeholder management

Education

Bachelor's degree in CS/Engineering

Tools

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes/OpenShift

Terraform/Ansible

REST APIs

Prometheus/Grafana

vLLM/Ollama/Triton

Job description

Luxoft Singapore is seeking an experienced AI DevOps Engineer to design, build, and maintain CI/CD pipelines for AI/ML deployments. You will manage Kubernetes/OpenShift platforms, containerise apps with Docker, and automate model lifecycle in a secure, regulated banking environment.

You will collaborate with AI engineers, data scientists, security, and application teams to operationalise AI workloads across cloud and container platforms, ensuring scalable, reliable delivery and strong governance.