Description

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

Key Skills

Education

Bachelor’s degree