AI/ML Cloud Architect/ Engineer

AI/ML Cloud Architect/ Engineer Location: Bloomfield, CT (Hybrid) Duration: 12+ Months Must have: AI/ML, Amazon SageMaker, Cloud Descritption: 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