Overview
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
Management
Kubernetes
Collaboration
Machine Learning Operations (ML Ops)
Microsoft Azure
ADO
Artificial Intelligence
DevOps
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Workflow
SANS
Problem Solving
Conflict Resolution
Communication
Job Details
Job Title: Azure MLOps Architect
Interview: Virtual
Job Duration: 6+ Months
Job Location: San Antonio, TX
Job Description:
We are seeking a skilled Azure MLOps Architect to lead the design, development, and implementation of MLOps solutions within our Azure ecosystem. The ideal candidate will have extensive experience with AI services, Azure Machine Learning Studio, and end-to-end deployment pipelines, ensuring scalable and robust machine learning operations.
Key Responsibilities:
- Design and implement MLOps strategies using Azure Machine Learning Studio and Azure DevOps (ADO) pipelines.
- Deploy and manage machine learning models on Azure Kubernetes Service (AKS).
- Integrate AI Foundry solutions and ensure efficient utilization of Azure AI services.
- Collaborate with cross-functional teams to define architecture, optimize pipelines, and enhance operational workflows.
- Ensure adherence to best practices in versioning, monitoring, and scaling machine learning solutions.
Requirements:
- Proven experience as an MLOps Architect or similar role.
- Strong expertise in Azure AI services, Azure Machine Learning Studio, ADO pipelines, and AKS.
- Experience with AI Foundry or similar platforms.
- Solid understanding of DevOps principles and CI/CD processes in machine learning workflows.
- Excellent problem-solving and communication skills.
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.