We are looking for a highly skilled DevOps MLOps Engineer (7+ years experience) to join our engineering team in Abu Dhabi. The ideal candidate will have strong expertise in DevOps principles, cloud infrastructure, and MLOps practices to enable secure, scalable, and efficient deployment of ML applications.
Key Responsibilities:
Design & maintain CI/CD pipelines Jenkins, GitHub Actions, Azure DevOps).
Automate infrastructure with Terraform (IaC).
Deploy & manage apps using Kubernetes & Docker.
Implement cloud-native solutions (AWS/Azure/GCP).
Collaborate with ML engineers to operationalize ML models.
Build MLOps workflows (model deployment, monitoring, drift detection).
Integrate MLflow Kubeflow for ML pipelines.
Ensure system security, performance & scalability.
Qualifications:
7+ years in DevOps, Cloud, and Automation.
Strong skills with CI/CD, Terraform, Kubernetes, Docker, Bash, Python.
Solid knowledge of cloud infrastructure, networking, and monitoring.
Experience in MLOps tools & workflows is highly preferred.