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MLOps Azure DevOps Engineer

Company

Apex Systems

Location

Remote, estado de méxico

Posted

May 29, 2026

Position Overview

Qualifications

  • 5+ years of experience in DevOps, Cloud Engineering, or ML Engineering
  • 3+ years of hands‑on experience in MLOps or operationalizing ML models in production environments

Key Responsibilities

  • Architect and implement scalable end-to-end ML pipelines (training, validation, deployment, monitoring)
  • Design and maintain CI/CD pipelines for ML workflows using Azure DevOps
  • Implement automated model versioning, artifact management, and rollback strategies
  • Provision and manage infrastructure using Infrastructure as Code (Terraform, ARM)
  • Deploy containerized ML services using Docker and Kubernetes
  • Implement monitoring frameworks for model performance, drift detection, and data quality
  • Optimize inference performance, scalability, and cost efficiency
  • Ensure compliance, governance, and security best practices in cloud ML environments
  • Provide technical leadersh...

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