Azure Eng - AI/ML Focus

Post Date

May 14, 2025

Location

Charlotte,
North Carolina

ZIP/Postal Code

28203
US
Jul 31, 2025 Insight Global

Job Type

Contract

Category

Software Engineering

Req #

CLT-782444

Pay Rate

$52 - $65 (hourly estimate)

Job Description

About the Role
We are looking for a Cloud Azure Engineer to support and scale AI/ML initiatives. This role involves managing cloud infrastructure for machine learning workflows, deploying models using Azure Machine Learning, and ensuring high performance and availability of AI/ML systems.

Key Responsibilities
Build and maintain infrastructure to support ML workloads using Azure Machine Learning, AKS, and Azure Functions.
Collaborate with data science teams to deploy and monitor ML models.
Implement scalable infrastructure for training, inference, and model versioning.
Use tools like MLflow, Azure ML Pipelines, and Databricks for model management.
Automate infrastructure provisioning with Terraform or Bicep.
Ensure compliance with security, governance, and performance best practices.
Contribute to CI/CD and MLOps pipelines using GitHub Actions or Azure DevOps.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Required Skills & Experience

Required Skills
Experience with Azure AI/ML services: Azure ML, AKS, Azure Functions.
Proficient in Python and familiar with common ML libraries and tools.
Solid knowledge of Azure infrastructure, networking, and security.
Experience with ML lifecycle management tools like MLflow or Azure ML Studio.
Strong collaboration and troubleshooting skills.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.