Posted:6 hours ago|
Platform:
On-site
Full Time
Requirements
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
Collaborate with DevOps and security teams to align infrastructure and processes with organizational policies
Monitor the performance of AI workloads, optimizing for cost, latency, and throughput using tools like CloudWatch, Azure Monitor, and third-party platforms
Implement auto-scaling mechanisms for dynamic AI/ML workloads
NUMENTICA PRIVATE LIMITED
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