Azure/AWS Cloud Administrator (AI Deployment)

Bloomfield, CT, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
Contract Independent
On-site
Depends on Experience
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Artificial Intelligence
  • Amazon Web Services
  • Cloud Security
  • Cloud Computing
  • DevOps
  • Docker
  • Jenkins
  • Kubernetes
  • Machine Learning (ML)
  • Microsoft Azure
  • PyTorch
  • Python
  • TensorFlow
  • Network Security
  • Terraform
  • Bash

Summary

Azure/AWS Cloud Administrator (AI Deployment)

The client is looking for someone who has cloud administration experience either in AWS or Azure.

Along with that someone who has experience of managing, deploying, and evaluating AI models in these platforms.

Job Description: Azure/AWS Cloud Administrator (AI Deployment)

Overview

We are looking for a skilled Azure or AWS Cloud Administrator with handson experience in cloud implementation, deployment automation, and AI/ML model operationalization.

This role supports cloud infrastructure, CI/CD pipelines, and productionready AI workloads.

Key Responsibilities

  • 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 modelrelated 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.

Required Skills

  • 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90769335A
  • Position Id: 8903598
  • Posted 2 hours ago
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