MLOps Engineer

DPR Construction -
Raleigh-Durham, NC

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Job Details

Full-time

Qualifications

AI models
Containerization systems
Performance monitoring
Cost management
Continuous Delivery (CD) implementation
Tooling
Infrastructure as Code (IaC)
Cost control
Reducing cloud infrastructure costs
Production systems
Machine intelligence
IT monitoring tools
Model deployment
Monitoring system implementation
Cloud automation
DevOps automation
Cloud monitoring
Model evaluation

Full Job Description

Job Description

DPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR’s AI initiatives.
You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.

MLOps Engineer

DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for a MLOps Engineer to join our team and contribute to developing robust data solutions to support our Machine Learning , Data Science , Data Engineering and Software Engineering .

Position Overview

Th e MLOps Engineer will be instrumental in the design and implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team . The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development . The MLOps Engineer will design, build and support the infrastructure and systems that enable our teams to deliver reliable , high-impact data, workflows , and collaborating closely with data engineers, software developers, data scientists and product teams .

Responsibilities

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

S tandardize 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

Qualifications

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

Required Skills

Experience with CI/CD processes and automation

Experience with Infrastructure as Code tools such as Terraform , Bicep

Proficien cy 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).

Nice to Have

Experience in Azure, particularly AKS, ACR, ARM , App Service, Azure Machine Learning and AI Foundry , Azure Monitor

Familiarity with semantic search, retrieval-augmented generation (RAG), or embedding pipelines

Exposure to managing and monitoring ML workloads that support generative AI or advanced analytics use cases

Proficiency with Snowflake

Experience with workflow orchestration platforms such as Apache Airflow, Argo Workflow, Prefect, etc.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities at www.dpr.com/careers .

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Job Description

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