Cloud Architect AI/ML

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Position: Cloud Architect with AI/ML

Location: McLean, VA (locals Preffered)

Contract Type: C2C / W2 / 1099

Overview

We are seeking an experienced Cloud Architect to design and optimize cloud-based data and AI/ML architectures on Azure. This role combines hands-on data engineering with strategic architecture to deliver scalable, secure, and high-performance analytics and machine learning solutions.

Key Responsibilities

• Design end-to-end cloud data and AI/ML architectures aligned with business objectives
• Architect AI/ML pipelines including ingestion, training, deployment, and monitoring
• Select, design, and implement Azure cloud services and data platforms
• Build scalable solutions for both batch and real-time data workloads
• Implement MLOps, CI/CD pipelines, and automation for ML models
• Ensure security, governance, and regulatory compliance
• Collaborate with business stakeholders, data scientists, and engineering teams
• Monitor system performance, optimize costs, and document architectures
  
  

Required Qualifications

• Bachelor’s degree in a related technical field
• 5 years of data engineering experience (Spark, Databricks, MapReduce)
• Strong experience designing Azure-based cloud data solutions
• Solid understanding of data modeling and databases (SQL and NoSQL)
• Proficiency in Python and SQL
• Strong documentation and architectural diagramming skills
  
  

Preferred Qualifications

• Hands-on experience with Azure Databricks and Azure Data Lake
• Experience with big data technologies (Hadoop, Spark)
• Knowledge of data security, governance, and compliance frameworks
• Experience with Kubernetes and MLOps tools