MLOps Engineer

We are hiring MLOps Engineer to join one of our major clients based in Jeddah, KSA

Job Location - Jeddah, KSA

Job Type - 12 months & extendable

About Role

The MLOps Engineer (GCP) is responsible for operationalizing, deploying, monitoring, and scaling production‑grade AI/ML solutions on Google Cloud Platform (GCP). The role focuses on building reliable, automated, and secure end‑to‑end ML platforms and pipelines, enabling seamless collaboration between Data Science, AI Engineering, Platform, and Operations teams.

This role ensures that ML models developed using Vertex AI and other GCP services can be consistently trained, versioned, deployed, monitored, and governed throughout their lifecycle. Strong, hands‑on experience with GCP‑native MLOps services, CI/CD, and production operations is mandatory.

Required Skills

• 5+ years of experience in ML engineering, DevOps, or MLOps‑related roles
• Minimum 3+ years of recent, hands‑on experience on Google Cloud Platform (mandatory)
• Deep experience with Vertex AI (pipelines, endpoints, model registry, monitoring)
• Solid understanding of CI/CD, infrastructure automation, and ML workflows
• Experience with containerization (Docker) and orchestration concepts
• Proficiency in Python and ML lifecycle tooling
• Strong understanding of production reliability, monitoring, and scalability
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Relevant GCP certifications (e.g., Professional Cloud DevOps Engineer) are a strong plus.