Azure/AWS Cloud Administrator (AI Deployment)

YOCHANA, LLC
Windsor, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Windsor, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Computing Security
Continuous Integration
Github
Identity and Access Management
Python
Machine Learning
Performance Tuning
Powershell
TensorFlow
Azure
Software Deployment
Scripting (Bash/Python/Go/Ruby)
PyTorch
Delivery Pipeline
Model Validation
Cloudformation
Containerization
Kubernetes
Infrastructure Automation Frameworks
Deployment Automation
Bicep
Terraform
Docker
Jenkins

Job description

We are looking for a skilled Azure or AWS Cloud Administrator with hands-on experience in cloud implementation, deployment automation, and AI/ML models., * Manage and optimize Azure or AWS cloud environments

  • Implement and deploy cloud infrastructure using IaC tools
  • Build and maintain CI/CD pipelines for applications and AI models
  • Deploy and monitor AI/ML models using Azure ML, SageMaker, or similar platforms
  • Support containerized workloads (Docker, Kubernetes)
  • Ensure cloud security, IAM, and compliance best practices
  • Troubleshoot cloud, deployment, and model-related issues
  • Monitor model performance and ensure scalability, security, and compliance
  • Optimize resource utilization and cost efficiency for AI workloads
  • Collaborate with data scientists and engineering teams for seamless integration

Requirements

  • 8+ years in Azure or AWS administration
  • Strong experience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, CodePipeline)
  • Proficiency with Terraform, CloudFormation, or ARM/Bicep
  • Experience deploying AI/ML models into production
  • Knowledge of Docker, Kubernetes (AKS/EKS)
  • Scripting skills (Python, Bash, PowerShell)
  • Strong experience with AWS AI/ML services (e.g., SageMaker) or Azure Machine Learning
  • Proficiency in cloud administration (IAM, networking, security, resource management)
  • Familiarity with model evaluation, tuning, and deployment pipelines
  • Knowledge of Python and ML frameworks (TensorFlow, PyTorch) is a plus

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