vConstruct, a part of DPR Construction, is transforming the construction industry through digital engineering, Artificial Intelligence, Computer Vision, BIM, Data Engineering, and advanced analytics. We build AI-powered solutions that improve productivity, safety, quality, planning, and decision-making across the construction lifecycle.
AI Observability (ML Ops Engineer)
We are looking for a AI Observability 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
The AI Observability Engineer will be instrumental in 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 AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems.
Responsibilities
Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms
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
Deploy, maintain and monitor containerized ML workloads
Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows
Implement AI-driven data validation, schema and concept 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
Develop automated test suites for model performance, regression, edge cases and bias validation
Monitor model KPIs (accuracy, precision, recall, latency, calibration)
Ensure reproducability of experiments and production models
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
Why Join vConstruct?
At vConstruct, you'll work on AI solutions that solve real-world construction challenges at global scale. You'll collaborate with experts in AI, BIM, digital construction, and engineering to build cutting-edge Computer Vision systems that shape the future of construction technology. This role offers the opportunity to work with modern vision foundation models, multimodal AI, and production-grade machine learning while creating measurable impact across one of the world's largest industries.
About vConstruct :
vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction.
VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com
About DPR Construction:
DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationships—DPR is a truly great company. For more information, please visit www.dpr.com
