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 !

- 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. - 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…). - 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. - 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.