Azure MLOps Engineer

Azure MLOps Engineer 96220

Must sit in San Antonio, TX (4 days onsite, 1 day remote)

Qualifications

• To be successful in this role, you will ideally possess the following qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field, demonstrating a comprehensive understanding of both theoretical and applied aspects of cloud engineering/infrastructure.
• Proven (3+ years) experience in Azure Cloud engineering with a strong focus on AzureML, including managing ML workflows.
• Expertise in Python for AI/ML workflows, proficient with additional scripting languages (e.g., Bash, PowerShell).
• Familiarity with Azure DevOps (ADO), CI/CD practices, and Azure AI/ML services.
• Strong foundation in AI/ML principles, with practical experience in deploying models at scale.
• Proven track record of successful AI/ML model deployments in Azure.
• Azure DP-100 Certification preferred.