MLOps Engineer

DPR Construction is seeking an experienced MLOps Engineer to join their Data and AI team. The role involves designing and implementing scalable cloud-native solutions, managing DataOps pipelines, and establishing AI governance frameworks. The engineer will work closely with cross-functional teams to influence technical direction of AI initiatives.

• Lead hands-on implementation of automation-first DevOps and MLOps practices
• Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection
• Standardize observability practices across AI/ML and other development teams
• 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
• 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