MLOps Engineer📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Makkah |
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.
Requirements
- Requires 2-5 Years experience
Similar Jobs
You may also like
- Related MLOps Engineer Opportunities
- Sales Manager Jobs in Riyadh
- Real Estate Marketer Jobs in Riyadh
- Sales Supervisor Jobs in Riyadh
- Teleseller Jobs in Riyadh
- Content Creator Jobs in Riyadh
- Other Job Fields in Makkah
- Sales Manager Jobs in Makkah
- Sales Supervisor Jobs in Makkah
- Content Creator Jobs in Makkah
- Administrative Assistant Jobs in Makkah
- Sales Representative Jobs in Makkah
- Marketing Specialist Jobs in Makkah
- Sales Specialist Jobs in Makkah
- General Accountant Jobs in Makkah
- Production Supervisor Jobs in Makkah
- Business Development Specialist Jobs in Makkah
- Explore Jobs Across Saudi Arabia
- Refrigeration And Air Conditioning Technician Jobs in Jeddah
- Human Resources Specialist Jobs in Al-Ahsa
- Car Driver Jobs in Al Jubail
- Medical Optics Technician Jobs in Riyadh
- Sales Specialist Jobs in Al Khobar
- Certified Trainer Jobs in Taif
- Car Driver Jobs in Dammam
- Cafe Manager Jobs in Al-Ahsa
- Receptionist Jobs in Makkah
- Marketing Specialist Jobs in Jeddah