DPR Construction is seeking an experienced MLOps Engineer to join their Data and AI team in Houston, Texas. This role involves designing and implementing scalable, cloud-native solutions and managing DataOps pipelines to support AI initiatives. Candidates should have 5+ years of experience, a Bachelor’s degree in a relevant field, and strong proficiency with cloud technologies, especially Azure. The position offers a chance to work in a forward-thinking environment with significant opportunities for growth and impact.
Qualifications
5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering.
Strong understanding of cloud infrastructure and experience with a major cloud provider, preferably Azure.
Proficiency in at least one object-oriented programming language, preferably Python.
Responsibilities
Lead hands-on implementation of automation-first DevOps and MLOps practices.
Design and manage intelligent DataOps pipelines.
Standardize observability practices across development teams.
Design and deploy containerized ML workloads.
Implement AI-driven data validation and schema drift detection.
Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field
Tools
Terraform
Kubernetes
Azure
Datadog
Grafana
Snowflake
Apache Airflow
Job description
DPR Construction is seeking an experienced MLOps Engineer to join their Data and AI team in Houston, Texas. This role involves designing and implementing scalable, cloud-native solutions and managing DataOps pipelines to support AI initiatives. Candidates should have 5+ years of experience, a Bachelor’s degree in a relevant field, and strong proficiency with cloud technologies, especially Azure. The position offers a chance to work in a forward-thinking environment with significant opportunities for growth and impact.