Senior MLOps Engineer – Azure Pipelines & AI Deployments

Compunnel, Inc.; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A tech solutions provider is seeking an experienced MLOps Engineer in Plano, Texas to design, deploy, and maintain machine learning solutions in cloud environments. The role emphasizes building scalable ML pipelines using Azure ML and Kubernetes, managing model validation and deployment, and applying modern MLOps practices. Ideal candidates will have over 8 years of experience in MLOps and strong skills in Python and relevant ML frameworks. A competitive package is offered along with growth opportunities.

Qualifications

• Minimum 8+ years of experience in MLOps and ML application development.
• Expertise in Azure ML Studio and Azure Kubernetes Service.
• Hands‑on experience with Argo or Bento for ML workflow orchestration.

Responsibilities

• Develop and implement ML applications for various tasks.
• Utilize ML frameworks for model development.
• Work with Azure ML Studio and Azure Kubernetes Service.

Skills

Azure ML services

Kubernetes

Python

ML frameworks (TensorFlow, PyTorch, Keras)

DevOps principles

Automation frameworks

Tools

Terraform

Azure Kubernetes Service

Azure ML Studio

Job description

A tech solutions provider is seeking an experienced MLOps Engineer in Plano, Texas to design, deploy, and maintain machine learning solutions in cloud environments. The role emphasizes building scalable ML pipelines using Azure ML and Kubernetes, managing model validation and deployment, and applying modern MLOps practices. Ideal candidates will have over 8 years of experience in MLOps and strong skills in Python and relevant ML frameworks. A competitive package is offered along with growth opportunities.