MLOps Engineer â Saudi Arabia (ML Platform & AI Infrastructure Focus)

Build the backbone of scalable AI â power enterprise ML and GenAI solutions with robust MLOps engineering.

Location: Saudi Arabia â 50% Travel Required

Experience: 4â6+ years in MLOps, DevOps, ML Engineering, or Data Engineering

We are looking for engineering professionals who donât just manage infrastructure, but enable scalable, secure, and production-ready AI ecosystems that drive enterprise innovation.

Expertise: Robust passion for building reliable ML platforms, automating AI workflows, and enabling seamless collaboration between data science, engineering, and infrastructure teams.

Proactive individuals who take ownership, solve complex technical challenges, and focus on reliability, scalability, governance, and operational excellence.

Role Overview

As an MLOps Engineer â ML Platform, you will design, implement, and operate enterprise-grade ML infrastructure and MLOps pipelines that enable scalable AI and GenAI solutions. You will collaborate with data scientists, data engineers,



and infrastructure teams to productionize machine learning workflows, automate deployments, and ensure secure, governed AI operations across the enterprise.

What makes you right for the role?

ML Platform Engineering

Design and maintain scalable ML platform architecture including compute, storage, networking, and security in collaboration with infrastructure teams.

CI/CD & ML Automation

Build and manage CI/CD pipelines for ML workflows including model training, testing, deployment, rollback, and automated retraining processes.

Model Lifecycle Management

Implement and manage model registry, experiment tracking, monitoring, and governance solutions to support enterprise AI operations.

Workflow Orchestration & Scaling

Automate end-to-end data and model workflows including scheduling, batch scoring, real-time inference, and production orchestration.

Governance & Reliability

Ensure compliance with securi

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