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DevOps Engineer
2 weeks ago
We are seeking a highly skilled Lead DevOps / MLOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions. This role will be offered as a 12 month extendable contract working fully on site in Abu Dhabi. Key Responsibilities Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps Develop and maintain Infrastructure-as-Code using Terraform Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters Ensure cloud infrastructure is optimized, secure, and monitored effectively Collaborate with data science teams to support ML model deployment and operationalization Implement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow) Build and maintain automated ML pipelines to streamline model lifecycle management Required Skills 8 to 12 years of experience in DevOps and/or MLOps roles Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Strong expertise in Terraform, including managing and scaling infrastructure across large environments Hands‑on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring Strong understanding of containerization technologies (Docker) and microservices architecture Solid grasp of cloud networking, security best practices, and observability Scripting proficiency in Bash and Python Preferred Skills Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines Knowledge of model performance monitoring and ML system reliability Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP Seniority level Mid-Senior level Employment type Contract Job function Information Technology IT Services and IT Consulting Referrals increase your chances of interviewing at Penta Consulting by 2x #J-18808-Ljbffr
