AI/ML Cloud Architect/ Engineer - (W2)

AI/ML Cloud Architect/ Engineer

Location:

Bloomfield, CT (Hybrid) Candidates with 12-month validity Must have: AI/ML, Amazon SageMaker, Cloud 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