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Lead MLOps Engineer

eTeam

 

Richardson, TX, USA

Posted On: 3 days ago
Experience: 15+ years
Availability: Onsite
Openings: 1
Category: MLOps Engineer
Tenure: Contract - Corp-to-Corp
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Description

You will lead machine learning operations and deployment workflows within an Azure environment.

This role is on-site.

Responsibilities

  • Manage and scale machine learning lifecycles using MLOps best practices.
  • Implement and maintain deployment pipelines using Azure DevOps and AKS.
  • Develop and optimize machine learning workflows using Python.
  • Integrate Large Language Models (LLMs) into existing production environments.

Required Skills

  • 10+ years of experience in DevOps practices.
  • 7+ years of experience working with Azure cloud services.
  • 6+ years of hands-on MLOps experience.
  • 5+ years of professional Python development.
  • Expertise in Azure Machine Learning.
  • Experience with Azure Kubernetes Service (AKS).
  • Practical knowledge of Large Language Models (LLMs).
  • Strong background in Azure DevOps.
  • Minimum 15 years of total IT experience.

Preferred Skills

  • Experience managing large-scale production ML workloads on AKS.

Education

Any Gradute

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