Azure DevOps/ML Ops Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure DevOps/ML Ops Engineer in Atlanta, GA (Hybrid). Contract length is unspecified, with a pay rate of "unknown." Requires 7+ years in Azure and DevOps, 5+ years in AI/ML Ops, and strong Python skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Azure #Infrastructure as Code (IaC) #ML Ops (Machine Learning Operations) #Scripting #ML (Machine Learning) #AI (Artificial Intelligence) #Docker #Logging #Azure Machine Learning #DevOps #Monitoring #Python #Azure DevOps #Kubernetes #Terraform #GitLab #Data Science #Deployment
Role description
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• Job Title: Azure DevOps/ML Ops Engineer
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• Location: Atlanta, GA (Hybrid – 3 days onsite; Georgia, Texas – Kansas)
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• Job Description:
We are seeking an experienced Azure DevOps/ML Ops Engineer to join our team and play a crucial role in the implementation of our AI-powered project. The selected candidate will be responsible for building and maintaining CI/CD pipelines, managing Azure infrastructure, and automating the machine learning lifecycle. You will work closely with development and data science teams to ensure a seamless and efficient deployment process.
Mandatory Skills:
• 7+ years of experience in Azure.
• 7+ years of experience in DevOps.
• 5+ years of experience in AI/ML Ops and Python.
Technical Requirements:
• Proven experience as a DevOps or MLOps Engineer in an Azure environment.
• Strong knowledge of CI/CD principles and extensive experience with GitLab.
• Expertise with IaC tools (ARM templates, Bicep, Terraform).
• Hands-on experience with Docker and Azure Kubernetes Service (AKS).
• Familiarity with Azure Machine Learning and MLOps tools.
• Strong scripting skills in Python or PowerShell.
• Monitoring and logging experience with Azure Monitor, Application Insights.
• Excellent problem-solving, troubleshooting, communication, and collaboration skills.
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• Job Title: Azure DevOps/ML Ops Engineer
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•
•
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•
•
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• Location: Atlanta, GA (Hybrid – 3 days onsite; Georgia, Texas – Kansas)
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•
•
•
•
•
•
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• Job Description:
We are seeking an experienced Azure DevOps/ML Ops Engineer to join our team and play a crucial role in the implementation of our AI-powered project. The selected candidate will be responsible for building and maintaining CI/CD pipelines, managing Azure infrastructure, and automating the machine learning lifecycle. You will work closely with development and data science teams to ensure a seamless and efficient deployment process.
Mandatory Skills:
• 7+ years of experience in Azure.
• 7+ years of experience in DevOps.
• 5+ years of experience in AI/ML Ops and Python.
Technical Requirements:
• Proven experience as a DevOps or MLOps Engineer in an Azure environment.
• Strong knowledge of CI/CD principles and extensive experience with GitLab.
• Expertise with IaC tools (ARM templates, Bicep, Terraform).
• Hands-on experience with Docker and Azure Kubernetes Service (AKS).
• Familiarity with Azure Machine Learning and MLOps tools.
• Strong scripting skills in Python or PowerShell.
• Monitoring and logging experience with Azure Monitor, Application Insights.
• Excellent problem-solving, troubleshooting, communication, and collaboration skills.
