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MLOps Engineer

Job in Jeddah, Saudi Arabia
Listing for: AIQU
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), SRE/Site Reliability, Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

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, Dev Ops, 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 Dev Ops Engineer) are a strong plus.
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