AI/ML Cloud Engineer

- Design, deploy, and oversee cloud infrastructure for AI/ML workloads on AWS and Azure - Manage compute resources, including EC2, Azure Virtual Machines, GPU instances, and Kubernetes clusters - Provision and set up storage, networking, and security services for AI platforms - Deploy and maintain AI/ML services, including Amazon SageMaker and Azure Machine Learning - Assist data scientists and ML engineers with optimized environments for model training and deployment - Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and ARM/Bicep templates - Automate the provisioning, scaling, and patching of cloud environments - Deploy and manage containerized applications using Docker, Kubernetes, EKS, and AKS - Monitor system performance utilizing tools such as CloudWatch, Azure Monitor, Datadog, and Prometheus - Optimize infrastructure for cost-efficiency, performance, and GPU utilization - Enforce security best practices including IAM/RBAC, encryption, and network security - Ensure adherence to organizational and regulatory standards - Integrate AI/ML infrastructure with CI/CD pipelines for automated deployments