Data and MLOps Engineer

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** 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.

Data & 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 Data & MLOps Engineer to join our team and contribute to developing robust data solutions to support our AI, Machine Learning and Data Science team.

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

The role bridges Data Engineering and ML Operations, focusing on scalable data processing, robust deployment practices and continuous monitoring and improvement of production systems.

Responsibilities   Design distributed, cloud-native, scalable architecture for data and ML pipelines   Develop CI/CD pipelines and pipeline templates to be used across Data Engineering, AI/ML and Data Science teams   Automate training, testing and deployment processes for machine learning models   Develop and maintain ETL pipelines to move data in real-time/stream, on-demand, and in batch emphasizing security, reusability, and data quality   Leverage Infrastructure-as-code platforms such as Terraform and Bicep to automate infrastructure provisioning and streamline deployments   Implementation and management of APM and observability tools such as Azure App Insights or Datadog to monitor infrastructure, focusing on ML workloads   Contribute to preventive maintenance, technical debt reduction, and the promotion of clean code principles   Manage and maintain cloud infrastructure in both Azure and AWS environments

Qualifications   Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field   3-5 years of experience in Data Engineering, Dev Ops, MLOps, Software Engineering or Site  Reliability Engineering   Strong understanding of cloud infrastructure and experience working with at least one major cloud provider   Excellent troubleshooting and debugging skills, with a focus on data integrity and system  optimization   Proficiency in at least one objected-oriented programming language, preferably python with  hands-on experience in ml frameworks like Tensor Flow, PyTorch or Scikit-learn   Proficiency in SQL, preferably Snowflake SQL### ### ### ### 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,…