AI/ML Cloud Architect/ Engineer

About

Work closely with engineering teams to support AI/ML infrastructure, deployments, and cloud-based initiatives.

Day to Day Responsibilities

• Work on enterprise AI/ML initiatives focused on deploying AI/ML models and tracking model usage across the organization.
• Design Cloud Architecture for various use cases.
• Support implementation and management of MLOps processes for model deployment, monitoring, and operationalization.
• Collaborate with the Client’s AI/ML Center of Excellence (COE) team to align cloud infrastructure and AI platforms with enterprise standards and approved tools.
• Assist internal teams and business units with onboarding AI/ML workloads into approved cloud environments.
• Strong experience in Securing the Client Data.
• Design, deploy, and manage scalable cloud infrastructure supporting AI/ML workloads on AWS and Azure.
• Support model training and inference environments for data scientists and ML engineers.
• Provision GPU-enabled infrastructure and optimize environments for AI/ML workloads and large-scale model deployments.

The ideal candidate will have

• Experience as an AI-ML Infrastructure Architect/ Engineer.
• Strong hands-on experience with AWS and Microsoft Azure.
• Strong experience with AI Gateways.
• Hands-on experience with Docker, Kubernetes, and container orchestration.
• Must have strong experience with Python.
• Experience with Infrastructure as Code tools like Terraform or CloudFormation.
• Experience with monitoring and performance optimization tools.

Preferred Skills & Qualifications

• Cloud certifications such as AWS Certified Solutions Architect or Azure AI Engineer