MLOps Engineer📣 Job Ad

About the Role

AIQU is seeking a skilled MLOps Engineer to join one of its major clients in Jeddah, Saudi Arabia. This role is critical for operationalizing, deploying, monitoring, and scaling production-grade AI/ML solutions specifically on the Google Cloud Platform (GCP). The MLOps Engineer will be instrumental in building reliable, automated, and secure end-to-end ML platforms and pipelines. This position fosters seamless collaboration between Data Science, AI Engineering, Platform, and Operations teams, ensuring that ML models developed using Vertex AI and other GCP services are consistently trained, versioned, deployed, monitored, and governed throughout their entire lifecycle. A strong, hands-on experience with GCP-native MLOps services, CI/CD, and production operations is a mandatory requirement for this position.

Key Responsibilities

• Operationalize, deploy, monitor, and scale production-grade AI/ML solutions on Google Cloud Platform (GCP).
• Build reliable, automated, and secure end-to-end ML platforms and pipelines.
• Enable seamless collaboration between Data Science, AI Engineering, Platform, and Operations teams.
• Ensure ML models are consistently trained, versioned, deployed, monitored, and governed throughout their lifecycle using Vertex AI and other GCP services.

Qualifications and Requirements

• Minimum of 2-5 years of experience in MLOps or related engineering roles.
• Minimum of 3+ years of recent, hands-on experience on Google Cloud Platform (mandatory).
• Deep experience with Vertex AI, including pipelines, endpoints, model registry, and monitoring.
• Solid understanding of CI/CD principles and practices.
• Experience with infrastructure automation.
• Proficiency in Python and ML lifecycle tooling.
• Strong understanding of production reliability, monitoring, and scalability concepts.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Relevant GCP certifications, such as Professional Cloud DevOps Engineer, are a strong plus.

Technical Skills

• MLOps Engineering
• ML Engineering
• DevOps
• Google Cloud Platform (GCP)
• Vertex AI (Pipelines, Endpoints, Model Registry, Monitoring)
• CI/CD (Continuous Integration/Continuous Deployment)
• Infrastructure Automation
• ML Workflows
• Containerization (Docker)
• Orchestration Concepts
• Python
• ML Lifecycle Tooling
• Production Reliability
• Monitoring
• Scalability

Work Location and Duration

This is a full-time position located in Jeddah, Makkah, Saudi Arabia. The contract duration is 12 months, with the possibility of extension.