Azure Architect (Azure Open AI)

Qualifications

• The ideal candidate will have a deep understanding of Azure OpenAI Service, Azure Machine Learning (AML), and other Azure Cognitive Services to help architect and implement secure, scalable, and high-performing AI solutions
• 5+ years of experience in Cloud AI/ML engineering, with a strong focus on Azure AI stack
• Proven experience deploying Azure OpenAI models and managing model lifecycles in Azure Machine Learning
• Strong understanding of Azure DevOps, CI/CD for ML, Azure Functions, and API Management
• Proficiency in Python, RESTful APIs, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Experience with Azure Data Factory, Synapse, Data Lake, and Power BI integrations
• Deep understanding of cloud security, identity management, and network isolation for AI workloads

Responsibilities

• This role will be pivotal in helping our organization leverage Azure s AI capabilities integrating machine learning models with enterprise data sources, ensuring secure deployment, and maintaining operational efficiency

Full Description

Here is further information for your reference:

Job Title: Azure AI & Machine Learning Engineer (Azure OpenAI Specialist) Location: Houston, TX (Hybrid Onsite) Job Description:

We are looking for a highly skilled Azure AI & Machine Learning Engineer with hands-on experience in deploying, managing, and optimizing AI models within the Azure ecosystem.

The ideal candidate will have a deep understanding of Azure OpenAI Service, Azure Machine Learning (AML), and other Azure Cognitive Services to help architect and implement secure, scalable, and high-performing AI solutions.

This role will be pivotal in helping our organization leverage Azure s AI capabilities integrating machine learning models with enterprise data sources, ensuring secure deployment, and maintaining operational efficiency.

• 5+ years of experience in Cloud AI/ML engineering, with a strong focus on Azure AI stack.

• Proven experience deploying Azure OpenAI models and managing model lifecycles in Azure Machine Learning.

• Strong understanding of Azure DevOps, CI/CD for ML, Azure Functions, and API Management.

• Proficiency in Python, RESTful APIs, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).

• Experience with Azure Data Factory, Synapse, Data Lake, and Power BI integrations.

• Deep understanding of cloud security, identity management, and network isolation for AI workloads.