AI/ ML Architect

Overview

On Site
$70 - $72
Contract - W2
Contract - 12 Month(s)

Skills

AI/ML Architect
Azure DevOps
AI Architect

Job Details

Title: AI/ ML Architect
Location: Northbrook, IL (100% onsite. No exceptions. Exceptional candidates can work 2 days a week from home)
Duration: 6 Months
Interviews: Immediate.

Must-Have Skills:

  • Microsoft Azure ML Architecting Experience 40% weightage
  • Microsoft Azure AI Architecting Experience 40% weightage
  • Microsoft Azure DevOps Architecting Experience 20% weightage


As an AI Architect on the Data Science team, you will play a key role in productionizing machine learning models, building robust pipelines, and enhancing the overall AI platform. This role requires hands-on experience with Azure, Docker, and Azure Kubernetes Service (AKS), as well as strong knowledge of cloud-native MLOps best practices.

Qualifications:

  • Minimum 12 years of experience as a Data Scientist, with at least 3 years focused on machine learning engineering in cloud environments.
  • Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS.
  • Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring.
  • Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus).
  • Proficiency in Python, SQL, and Linux-based development environments.
  • Strong understanding of MLOps principles, CI/CD pipelines, and production-grade APIs.
  • Effective communicator with strong problem-solving skills and ability to work across teams.


Education:

Bachelor s degree in Computer Science, Electronic Engineering, Data Science, or a related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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