(Full time, onsite role in Riyadh, Saudi Arabia)
Position Objectives:
- Build and maintain CI/CD pipelines and model serving infrastructure for ML/LLM deployments.
Job Description and Responsibilities
- Deploy and maintain model pipelines using Kubeflow, Tekton
- Integrate GitOps workflows and manage CI/CD for AI workloads
- Support model serving (ONNX, Triton), monitoring, and rollback
- Collaborate on infra requirements (storage, routing, autoscaling)
- Maintain the quality of the MLOps process
- Explaining models, presenting results, writing documentation
- Cross-functional alignment (AI, MLOps, Data, App teams)
- Debugging models, optimising pipelines, and creative solutions
- Navigating fast-changing tools, frameworks, and use cases
- Delivering prototypes, deployments, and iterations on time
Qualifications & Experience:
- Bachelor in Computer Science, Software Engineering, or related field.
- 6 years in DevOps, MLOps, or Data Engineering
- Experience with OpenShift, Kubernetes, model serving stacks
- Familiarity with MLflow, Seldon, or ModelMesh
- Familiar with general concepts used in OpenShift AI platforms
- Strong knowledge of OpenShift, Kubernetes, GPU orchestration as per MLOps requirements
