MLOps Engineer for AI Research & HPC

KAUST (King Abdullah University of Science and Technology); Makkah Region; On-site; SAR 180,000 - 300,000; Full time

Job summary

KAUST is seeking an AI/ML Support Automation Analyst to advance MLOps and containerization for research workloads on HPC-scale infrastructure.

You will develop OCI-compliant images, robust CI/CD pipelines, and cloud-native workflows that empower researchers to deploy AI/ML models efficiently while conforming to security policies and governance. This role links Kubernetes infrastructure with KAUST's research community.

Qualifications

• Experience building robust MLOps pipelines for AI/ML workloads.
• Hands-on API design, deployment, and management experience.
• Proven ability to create reproducible CI/CD pipelines for infra and workflows.

Responsibilities

• Develop secure, OCI-compliant container images for AI/ML workloads.
• Design and operate scalable MLOps workflows and pipelines on HPC infrastructure.
• Build and maintain CI/CD pipelines for reproducible deployment.
• Develop APIs for AI/ML services and inference endpoints.
• Manage Kubernetes orchestration, CNI/CSI and service mesh tuning.

Skills

Kubernetes

MLOps

CI/CD

Containerization

API Development

Python

Go

Bash scripting

Education

Bachelor's or Master's in Computer Science/Data Science/AI

Tools

Harbor

MLFlow

Kubeflow

KServe

Seldon

ArgoCD

Airflow

Kubeflow Model Registry

Terraform

Ansible

SLURM

Job description

KAUST is seeking an AI/ML Support Automation Analyst to advance MLOps and containerization for research workloads on HPC-scale infrastructure.

You will develop OCI-compliant images, robust CI/CD pipelines, and cloud-native workflows that empower researchers to deploy AI/ML models efficiently while conforming to security policies and governance. This role links Kubernetes infrastructure with KAUST's research community.