MLOps/AI Infrastructure Senior Engineer

We thank you for your interest in Ooredoo Tunisia's job offers

Key Responsibilities
• Deploy and optimize AI models for batch and real-time inference.
• Manage container orchestration platforms (Kubernetes, OpenShift, or equivalent) for AI workloads with GPU orchestration.
• Design and manage MLOps pipelines using experiment tracking (MLflow, or equivalent), workflow orchestration (Airflow, Prefect, or equivalent).
• Implement CI/CD pipelines for AI applications using container registries, version control and automation tools (GitLab, Openshift Pipelines, or equivalent).
• Configure and maintain hybrid cloud infrastructure (GCP, Azure, AWS, or equivalent) for AI training and serving.
• Implement Zero Trust security (Identity-Aware Proxy, RBAC, service mesh, or equivalent patterns).
• Monitor AI system performance, resource utilization, and cost optimization.
• Coordinate with Infrastructure and Security teams on compliance and governance.
• Automate deployment workflows using Infrastructure-as-Code and Gitops tools (Terraform, Ansible, Argocd, or equivalent).
• Ensure model versioning, reproducibility, and audit trails. Profile :
• Bachelor's/Engineering degree in Computer Science, DevOps, or related field.
• Proven experience in DevOps/MLOps with deployment of AI systems.
• Expert proficiency in container orchestration platforms (Kubernetes, OpenShift, or equivalent).
• Hands-on experience with ML experiment tracking (MLflow or equivalent), workflow orchestration (Airflow or equivalent), and model serving frameworks (vLLM or equivalent).
• Strong knowledge of cloud platforms (GCP, Azure, or equivalent)
- certification preferred.
• Proficiency in CI/CD tools (GitLab, Openshift Pipelines, or equivalent ) and container registries.
• Experience with GPU management, CUDA/ROCm, and infrastructure optimization.
• Deep understanding of security best practices (IAM, encryption, network policies, Zero Trust architectures).
• Proficiency in Infrastructure-as-Code tools (Terraform, Ansible, or equivalent) and Gitops tools (ArgoCd, FluxCd…).
• Strong scripting skills (Python, Bash, or equivalent) and Linux system administration.
• Knowledge of monitoring and observability tools (OpenTel, Prometheus, Grafana, cloud-native monitoring…). Assets :
• Security certifications (CISSP, CEH, or cloud security certifications).
• Experience with service mesh (Istio) and API gateways.
• Knowledge of GDPR, AI Act, and compliance automation.
• Proven experience in Cloud Financial Management (FinOps), including cost forecasting for large-scale AI workload. Why applying in Ooredoo Tunisia:
• Be part of the leading mobile operator in Tunisia.
• Take on a varied and stimulating role in a multinational and innovative company.
• Develop your knowledge and skills in cutting-edge technologies.
• Join an inspiring and collaborative team that supports your growth.
• Attractive compensation.
• Transportation provided. Our values are Caring, Connecting & Challenging. If you see yourself in these values then bring your positive energy and join us