DPR Construction

MLOps Engineer

DPR Construction

full-time

Posted on:

Location Type: Office

Location: Raleigh-Durham • Florida • North Carolina • United States

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Tech Stack

AzureCloudGrafanaKubernetesPythonPyTorchScikit-LearnTensorflowTerraform

About the role

  • Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning
  • Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection
  • Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms
  • Design and deploy containerized ML workloads, partnering with Infrastructure Engineering for cluster provisioning and governance
  • Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows
  • Implement AI-driven data validation, schema drift detection, and metadata management.
  • Establish governance frameworks for AI systems, including bias detection, explainability, and auditability
  • Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention
  • Collaborate with Infrastructure Engineering to automate infrastructure provisioning
  • Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
  • 5 + years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering
  • Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure
  • Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn
  • Experience with CI/CD processes and automation
  • Experience with Infrastructure as Code tools such as Terraform, Bicep
  • Proficiency in containerized application deployments and container orchestration – experience with Kubernetes, especially AKS would be a huge plus
  • Experience standing up and managing observability tools such as Datadog, Azure Monitor or Grafana for APM, LLM Ops and model performance monitoring
  • Experience deploying production-ready machine learning models
  • Experience with Model explainability (SHAP, LIME) or similar
  • Experience with cloud cost management and practices (e.g., Azure Cost Management, chargeback/show back models).
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
DevOpsMLOpsDataOpsinfrastructure-as-codeCI/CDPythonTensorFlowPyTorchScikit-learnTerraform
Soft Skills
collaborationdocumentationtechnical communicationgovernanceproblem-solving