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MLOps Azure DevOps Engineer

Hospitality Full Benefits Career Growth
Company

Apex Systems

Location

estado de méxico, Mexico

Posted

June 03, 2026

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About This Opportunity

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 leadership and ...