AI Platform MLOps & DevOps Engineer

Devoteam Middle East; Riyadh; On-site; SAR 240,000 - 420,000; Full time

Job summary

Devoteam Middle East is seeking a highly skilled DevOps MLOps Engineer to bridge data science research and AI engineering, designing and maintaining infrastructure and automated pipelines for scalable AI platforms and RAG pipelines.

You will work with GCP, Terraform, GKE, Vertex AI, and observability tools to build reliable ML workflows, manage CI/CD, data ingestion, model evaluation, and deployment strategies while collaborating with security teams to ensure data privacy.

Qualifications

• 3+ years in DevOps, SRE, or MLOps roles.
• Proficiency in Google Cloud Platform (GCP).
• Advanced knowledge of Docker and Kubernetes (GKE).
• Automation expertise with Python, GitHub Actions, Renovate, Sonar, Artifactory, Argo CD, and Helm.

Responsibilities

• Design and manage scalable GCP infrastructure with Terraform focusing on GKE, firewall, and network policies.
• Develop and maintain CI/CD pipelines with GitHub Actions, Renovate, Sonar, and Artifactory.
• Optimize cloud cost and performance across environments.
• Build end-to-end ML pipelines on Vertex AI and RAG architectures with Qdrant data ingestion.
• Set up evaluation pipelines to measure ML/LMM performance.
• Establish automated deployment strategies including AB testing and Canary releases.
• Develop monitoring and alerting to ensure production model and infra health.
• Implement data and model drift detection to maintain accuracy.
• Collaborate with security teams to ensure data privacy across the ML lifecycle.
• Integrate observability tools (Langfuse, OpenTelemetry, Prometheus) for transparency.
• Use distributed tracing and logging to identify bottlenecks across microservices and workflows.

Skills

DevOps

SRE

MLOps

Cloud math

Tools

GCP

Docker

Kubernetes

GitHub Actions

Renovate

SonarQube

Artifactory

Argo CD

Helm

Python

Airflow

Job description

Devoteam Middle East is seeking a highly skilled DevOps MLOps Engineer to bridge data science research and AI engineering, designing and maintaining infrastructure and automated pipelines for scalable AI platforms and RAG pipelines.

You will work with GCP, Terraform, GKE, Vertex AI, and observability tools to build reliable ML workflows, manage CI/CD, data ingestion, model evaluation, and deployment strategies while collaborating with security teams to ensure data privacy.