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 ...
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 ...
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
The MLOps Engineer role involves deploying, scaling, and monitoring production machine learning models, while optimizing CI/CD pipelines and ensuring robust infrastructure for rapid model deployment.
The MLOps Engineer role involves deploying, scaling, and monitoring production machine learning models, while optimizing CI/CD pipelines and ensuring robust infrastructure for rapid model deployment.
MLOps Engineer
Atlanta, GA · On-site
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 ...
MLOps Engineer
Atlanta, GA · On-site
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 ...
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 ...
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 ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Irving, TX · On-site
MLOps Engineer MLOps Engineer to productionize and scale ML and GenAI systems, with a focus on LLM deployment, orchestration, and reliability in production environments. Key Responsibilities Deploy ...
MLOps Engineer
Irving, TX · On-site
MLOps Engineer MLOps Engineer to productionize and scale ML and GenAI systems, with a focus on LLM deployment, orchestration, and reliability in production environments. Key Responsibilities Deploy ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
MLOps Engineer
Orlando, FL · On-site
They are looking for an experienced MLOps Engineer to join their Data and AI team to design and implement scalable, cloud-native solutions that support their Data & Development team, while ...
MLOps Engineer
Orlando, FL · On-site
They are looking for an experienced MLOps Engineer to join their Data and AI team to design and implement scalable, cloud-native solutions that support their Data & Development team, while ...
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer -- AI/ML Systems Deployment (TS/SCI Preferred) with Security Clearance
Dayton, OH · On-site
MLOps Engineer -- AI/ML Systems Deployment (TS/SCI Preferred) Location: Dayton, OH preferred Work Arrangement: On-site preferred; remote may be considered for highly aligned, clearance-ready ...
MLOps Engineer -- AI/ML Systems Deployment (TS/SCI Preferred) with Security Clearance
Dayton, OH · On-site
MLOps Engineer -- AI/ML Systems Deployment (TS/SCI Preferred) Location: Dayton, OH preferred Work Arrangement: On-site preferred; remote may be considered for highly aligned, clearance-ready ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Arlington, VA · On-site
The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI ...
MLOps Engineer
Mclean, VA · On-site
$113K - $188K/yr
As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and operational processes that enable scalable, secure, and reliable deployment of machine learning solutions ...
MLOps Engineer
Mclean, VA · On-site
$113K - $188K/yr
As an MLOps Engineer, you will design, implement, and support the platforms, pipelines, and operational processes that enable scalable, secure, and reliable deployment of machine learning solutions ...
Mlops information
What is the difference between Mlops vs Data Engineer?
| Aspect | Mlops | Data Engineer |
|---|---|---|
| Primary Focus | Deploying, managing, and monitoring machine learning models in production | Building and maintaining data pipelines and infrastructure for data processing |
| Skills & Certifications | Machine learning, DevOps, cloud platforms, scripting | SQL, ETL, data warehousing, programming |
| Work Environment | Collaborates with data scientists, software engineers, and DevOps teams | Works with data analysts, data scientists, and software developers |
| Industry Usage | AI/ML projects, production environments, cloud services | Data infrastructure, analytics, big data processing |
While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.
What are the key skills and qualifications needed to thrive as an MLOps Engineer, and why are they important?
To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.
What are some common challenges faced by MLOps professionals when deploying machine learning models to production?
MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.
What are MLOps?
MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
More about Mlops jobs
What cities are hiring for Mlops jobs? Cities with the most Mlops job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Mlops jobs? States with the most job openings for Mlops jobs include:
What job categories do people searching Mlops jobs look for? The top searched job categories for Mlops jobs are:
DPR Construction rating
7.8
Based on 35 frontline employees who took The Breakroom Quiz
25th of 79 rated construction
Job description
Job DescriptionDPR 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.
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 aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering.
Position Overview
TheMLOps Engineerwill be instrumental inthe designand implementation of scalable, cloud-nativesolutions to meet the growing needs of ourData & Developmentteam.Thesuccessful candidatewill demonstrate the abilitytoabstract complexity andcreatereusable, scalable patternsthat accelerate development.The MLOps Engineerwilldesign, build and support the infrastructureand systemsthat enable our teams to deliver reliable, high-impactdata,workflows, and collaboratingclosely 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
Standardize observability practicesacross AI/ML and other development teamsincluding logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms
Design and deploy containerized MLworkloads,partnering withInfrastructureEngineering 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 withInfrastructureEngineering toautomate infrastructure provisioning
Act as a technical point of contact forDevOps andMLOps 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 inDevOps, MLOps,Data Engineering,Software Engineeringor Site Reliability Engineering
Strong understanding of cloudinfrastructure and experience working with at least one major cloudprovider, preferably Azure
Proficiencyinat least one objected-oriented programming language, preferably pythonwith hands-on experience inml frameworks like TensorFlow, PyTorch or Scikit-learn
Required Skills
Experience with CI/CD processes and automation
Experience withInfrastructure as Codetoolssuch as Terraform,Bicep
Proficiencyincontainerized application deploymentsand container orchestration- experience with Kubernetes, especially AKS would be a huge plus
Experiencestanding up and managingobservability tools such as Datadog, Azure Monitor or GrafanaforAPM, LLM Opsand model performance monitoring
Experiencedeploying production-ready machine learning models
Experience withModel 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 atwww.dpr.com/careers.
What DPR Construction employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About DPR Construction
Sourced by ZipRecruiter
Industry
Construction
Company size
10,000+ Employees
Headquarters location
Redwood City, CA, US
Year founded
1990