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# Junior Cloud Engineer

- **Company:** OpenKyber LLC
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Python (Programming Language), Machine Learning, Performance Tuning, Cloudformation, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Terraform, Docker
- **Published:** May 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3848d05baa74cb56

## About the Role

Do you have experience in Python?, * 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

## Description

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

 * 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


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