Forward Deployed Engineer MLOps📣 Job Ad

About the Role

Systems Limited is seeking a Forward Deployed Engineer MLOps to join their team in Saudi Arabia. This full-time role focuses on managing the production lifecycle of machine learning models, ensuring they are reliably deployed, monitored, optimized, and maintained at scale. The position requires 5-10 years of experience and involves MLOps, cloud infrastructure, automation, observability, cost optimization, and production incident management.

Key Responsibilities

• Own the production serving, CI/CD, deployment, and monitoring of ML models.
• Build and maintain pipelines for model retraining, versioning, and deployment.
• Manage ML infrastructure and optimize cloud costs through FinOps practices.
• Implement observability, alerting, model drift detection, and performance monitoring.
• Lead production incident response, troubleshooting, and on-call duties.
• Collaborate with Data Scientists and ML Engineers to design scalable, production-ready systems.
• Support presales activities and Proofs of Concept (PoCs) by demonstrating production readiness and scalability.
• Mentor engineers on MLOps and production-readiness best practices.
• Communicate infrastructure cost, performance, and reliability trade-offs to non-technical stakeholders.

Qualifications and Experience

• Over 6 years of experience in MLOps, ML Platform Engineering, or related roles with proven production ownership.
• Strong expertise in CI/CD, containerization, cloud infrastructure, and ML observability.
• Deep understanding of the ML model lifecycle, including retraining, model versioning, and drift detection.
• Experience with Infrastructure as Code (IaC) and automated deployment pipelines.
• Strong knowledge of major cloud platforms such as AWS, Azure, or GCP.
• Experience with cloud cost monitoring, optimization, and FinOps practices.
• Strong understanding of monitoring, alerting, SLA management, and production incident response.
• Ability to troubleshoot and communicate technical incidents clearly to business stakeholders.
• Strong collaboration and mentoring skills.
• Willingness to participate in on-call and off-hours production support.

Work Type

This is a full-time position based in Saudi Arabia.