AI/ML Cloud Architect/Engineer

🚀 AI/ML CLOUD ARCHITECT / ENGINEER 🚀 📍 Location: Bloomfield (Hybrid) 💼 Employment Type: C2C 📅 Candidates must have 12+ months visa validity 🧠 Experience Required: 15+ Years Must Have Skills AI/ML Amazon SageMaker AWS Cloud Microsoft Azure Python Docker & Kubernetes Terraform / CloudFormation MLOps Job Responsibilities Work closely with engineering teams to support AI/ML infrastructure, deployments, and cloud-based initiatives. Drive enterprise AI/ML initiatives focused on model deployment and usage tracking across the organization. Design cloud architecture for enterprise AI/ML use cases. Implement and manage MLOps processes for deployment, monitoring, and operationalization. Collaborate with AI/ML COE teams to align cloud platforms with enterprise standards. Support onboarding of AI/ML workloads into approved cloud environments. Ensure strong data security and governance practices. Design, deploy, and manage scalable AI/ML cloud infrastructure on AWS and Azure. Support model training and inference environments for Data Scientists and ML Engineers. Provision GPU-enabled infrastructure and optimize environments for large-scale AI/ML deployments. Required Qualifications Strong experience as an AI/ML Infrastructure Architect / Engineer. Hands-on expertise with AWS and Microsoft Azure. Experience with Amazon SageMaker and AI Gateways. Strong Python development experience. Hands-on experience with Docker, Kubernetes, and container orchestration. Experience with Infrastructure as Code tools such as Terraform or CloudFormation. Experience with monitoring, logging, and performance optimization tools. Preferred Qualifications AWS Certified Solutions Architect Azure AI Engineer Certification 📩 Share resumes to: [Upgrade to PRO to see contact]