PGC Digital (America) Inc: CMMI Level 3 Company
AI/ML Architect – Azure
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Architect – Azure, offering a contract length of "X months" at a pay rate of "$Y/hour." Key skills required include Microsoft Azure, Azure ML pipelines, Python, MLOps, Docker, and Kubernetes. Industry experience in agentic AI is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
March 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Kubernetes #Security #ADF (Azure Data Factory) #Data Science #Scala #Compliance #Infrastructure as Code (IaC) #Azure #Spark (Apache Spark) #AI (Artificial Intelligence) #IAM (Identity and Access Management) #Monitoring #Python #Automation #Azure Machine Learning #ML (Machine Learning) #Databricks #Docker #Microsoft Azure #Azure Data Factory #Cloud #Ansible
Role description
Role Summary
Seeking a hands-on AI/ML Architect to design, build, and productionize scalable AI solutions on Microsoft Azure. The role focuses on agentic AI, MLOps, cloud architecture, and enterprise-grade ML systems.
Key Responsibilities
Design and implement cloud-native AI/ML architectures on Azure
Build and operate enterprise-scale ML pipelines using Azure Machine Learning
Convert data science prototypes into production-ready solutions
Implement MLOps, CI/CD, monitoring, and model lifecycle management
Orchestrate low-latency AI workloads using IaC & automation (Ansible)
Work with cross-functional teams (Data Science, Engineering, Product)
Develop reusable accelerators, templates, and AI patterns
Ensure security, identity, and access control compliance in cloud
Required Skills
Strong Microsoft Azure (AI/ML services, cloud-native architecture)
Hands-on with Azure ML pipelines (build, deploy, operate)
Strong Python + software engineering practices
Experience with MLOps, CI/CD, model lifecycle
Docker, Kubernetes (containerization & orchestration)
Automation/config management (Ansible)
Knowledge of enterprise cloud security & IAM
Preferred Skills
Microsoft Foundry
Agentic AI systems experience
Databricks, Spark, Azure Data Factory
AI integrations: Cognitive Services, Computer Vision, unstructured data
Role Summary
Seeking a hands-on AI/ML Architect to design, build, and productionize scalable AI solutions on Microsoft Azure. The role focuses on agentic AI, MLOps, cloud architecture, and enterprise-grade ML systems.
Key Responsibilities
Design and implement cloud-native AI/ML architectures on Azure
Build and operate enterprise-scale ML pipelines using Azure Machine Learning
Convert data science prototypes into production-ready solutions
Implement MLOps, CI/CD, monitoring, and model lifecycle management
Orchestrate low-latency AI workloads using IaC & automation (Ansible)
Work with cross-functional teams (Data Science, Engineering, Product)
Develop reusable accelerators, templates, and AI patterns
Ensure security, identity, and access control compliance in cloud
Required Skills
Strong Microsoft Azure (AI/ML services, cloud-native architecture)
Hands-on with Azure ML pipelines (build, deploy, operate)
Strong Python + software engineering practices
Experience with MLOps, CI/CD, model lifecycle
Docker, Kubernetes (containerization & orchestration)
Automation/config management (Ansible)
Knowledge of enterprise cloud security & IAM
Preferred Skills
Microsoft Foundry
Agentic AI systems experience
Databricks, Spark, Azure Data Factory
AI integrations: Cognitive Services, Computer Vision, unstructured data
