MLOps/AI Infrastructure Senior Engineer

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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 !