We have an urgent requirement for AI / ML Ops Engineer (Infrastructure, Monitoring & Deployment) is required for one of our clients in Abu Dhabi.

Core Responsibilities

Manage HGX nodes (OS, drivers, GPU allocation)
Set up and manage OpenShift/K8s clusters
Deploy models to inference servers (Triton, TensorRT, etc.)
Automate fine-tuning pipelines (PyTorch/TensorFlow)
Handle CI/CD for models (training -> serving) Basic scripting (Python/Bash) for ops automation
Manage artifacts (model checkpoints, fine-tuned versions)
Validate fine-tuned models (accuracy, fairness, drift)
Monitor model behavior in production
Alert on anomalies
Manage model registry (track model versions, fine-tuning metadata)

Critical Skills

Kubernetes (mandatory)
OpenShift (bonus)
DevOps (CI/CD)
Python
Torch/TensorFlow familiarity
Triton Server or similar deployment tool
Triton Inference Server
MLFlow/KubeFlow
Understanding of AI model validation
monitoring tools (Prometheus, Grafana)
basic ML performance metrics
good scripting skills

Skills: ml,python,ci/cd,torch,kubeflow,basic ml performance metrics,devops,scripting,ai,ai model validation,kubernetes,prometheus,tensorflow,grafana,openshift,monitoring tools,triton server,infrastructure,mlflow

Find Your Dream Job

Date Posted

Job Type

Technology

Work Setting

Salary Range

Experience Level

4330 matching jobs

Associate DevOps Engineer(Kubernetes, CI/CD, container orchestration)

DevOps Engineer - AWS

Devops Junior

Site Reliability Engineer

Site Reliability Engineer

Director Site Reliability Engineering

DevOps Engineer

DevSecOps Engineer

Site Reliability Engineer

Azure DevOps Engineer

AI / ML Ops Engineer (Infrastructure, Monitoring & Deployment)

New SRE Jobs

For SRE Professionals

For Employers

Company