You will manage, optimize, and secure AI/ML platforms across Azure and AWS cloud environments.
Responsibilities
Deploy, configure, and maintain AI/ML platforms on Azure (e.g., Azure Machine Learning, Azure Cognitive Services) and AWS (e.g., SageMaker, Rekognition, Comprehend).
Manage compute resources (e.g., EC2, EKS, Azure VMs, AKS) for AI workloads, ensuring cost-effective and scalable infrastructure.
Oversee storage and data management for AI applications using S3, Azure Blob Storage, and Data Lake solutions.
Provide technical support to data scientists, ML engineers, and developers in deploying and managing AI/ML workloads.
Monitor the performance of AI workloads, optimizing for cost, latency, and throughput using tools like CloudWatch, Azure Monitor, and third-party platforms.
Required Skills
5+ years of experience as an AI Platform Administrator on Azure and AWS.
Expertise in AI/ML Platforms configuration and maintenance.
Proficiency with Infrastructure-as-Code (IaC) principles.
Hands-on experience with SageMaker.
Experience managing compute resources including EC2, EKS, Azure VMs, and AKS.