Sr. MLOps Engineer

Confidential

Plano, Texas, United States permanent

Posted: February 24, 2026

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Quick Summary

We are looking for a Senior MLOps Engineer with strong experience in building and maintaining machine learning infrastructure and deployment pipelines.

Required Skills

Python SQL TensorFlow PyTorch Scikit-learn Azure ML AWS SageMaker Docker Kubernetes GitHub Actions Azure DevOps GCP Vertex AI

Job Description

We are looking for a Senior MLOps Engineer with strong experience in building and maintaining machine learning infrastructure and deployment pipelines. The role requires expertise in cloud ML services, automation, and model lifecycle management.

Location: Plano, TX – Onsite
Duration: Long Term
Work Authorization: W2 Only

Technical Skills

• Strong programming skills in Python and SQL

• Experience with ML frameworks:

• TensorFlow

• PyTorch

• Scikit-learn

• Experience with cloud ML platforms:

• Azure ML

• AWS SageMaker

• GCP Vertex AI

• Containerization and orchestration:

• Docker

• Kubernetes

• CI/CD pipeline tools:

• GitHub Actions

• Azure DevOps

• Jenkins

• GitLab CI

• Observability and monitoring tools:

• Prometheus

• Grafana

• MLflow

• Evidently AI

Preferred Background

• Candidates from Tier 1 universities preferred

• Experience working with Deloitte or KPMG preferred

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