Description

You will design and manage scalable cloud infrastructure to deploy and operationalize AI/ML models across the enterprise.

This role is hybrid.

Responsibilities

• Design cloud architecture for AI/ML use cases on AWS and Azure, ensuring alignment with enterprise standards.
• Implement and manage MLOps processes for model deployment, monitoring, and performance optimization.
• Provision GPU-enabled infrastructure and optimize environments for large-scale model training and inference.
• Secure client data and support internal teams with onboarding AI/ML workloads into approved cloud environments.

Required Skills

• 5+ years of experience as an AI/ML Infrastructure Architect or Engineer.
• Strong hands-on experience with AWS (including Amazon SageMaker) and Microsoft Azure.
• Proficiency in Python for infrastructure and automation tasks.
• Experience with containerization and orchestration using Docker and Kubernetes.
• Hands-on experience with Infrastructure as Code tools like Terraform or CloudFormation.
• Knowledge of AI Gateways and model tracking mechanisms.
• Bachelor’s degree in Computer Science or related field.

Key Skills

Education

Bachelor’s degree