Operations Intern Visa Sponsorship Jobs in Wisconsin
Operations intern roles in Wisconsin attract international students through employers in manufacturing, logistics, and healthcare sectors. Companies like Kohler, Oshkosh Corporation, and Epic Systems have histories of structured internship programs. Madison and Milwaukee are the primary hiring hubs, with many positions connected to University of Wisconsin pipelines offering OPT-eligible placements.
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Get Access To All JobsINTRODUCTION
Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.
ROLE AND RESPONSIBILITIES:
- Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
- Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
- Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
- Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
- Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
- Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
- Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
- Implement and maintain IaC patterns using Terraform.
- Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
- Provide guidance and mentorship to other engineers.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
- 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
- Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
- Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
- Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
- Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
- Experience working with cloud-based machine learning solutions, preferably within Azure.
- Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.
COMPENSATION
- Compensation Range: $123K - $170K
Ready to Join? Apply now at myparadigm.com/careers/
INTRODUCTION
Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.
ROLE AND RESPONSIBILITIES:
- Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
- Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
- Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
- Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
- Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
- Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
- Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
- Implement and maintain IaC patterns using Terraform.
- Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
- Provide guidance and mentorship to other engineers.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
- 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
- Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
- Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
- Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
- Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
- Experience working with cloud-based machine learning solutions, preferably within Azure.
- Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.
COMPENSATION
- Compensation Range: $123K - $170K
Ready to Join? Apply now at myparadigm.com/careers/
Operations Intern Job Roles in Wisconsin
See all 68+ Operations Intern Jobs in Wisconsin
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Search Operations Intern Jobs in WisconsinOperations Intern Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for operations interns?
Employers with established internship programs and a history of sponsoring international talent include Kohler Co. in Sheboygan, Oshkosh Corporation in Oshkosh, and Rockwell Automation in Milwaukee. Healthcare organizations like Epic Systems in Verona and Aurora Health Care also recruit operations interns. These companies typically have dedicated HR teams familiar with OPT and H-1B visa processes, making them more likely to support international candidates.
Which visa types are most common for operations intern roles in Wisconsin?
Most international students completing operations internships in Wisconsin work under F-1 OPT or Curricular Practical Training, which allows employment tied to their degree program without requiring employer sponsorship of a visa petition. For post-internship conversion to full-time roles, H-1B sponsorship becomes relevant. Operations roles can qualify as specialty occupations when the position requires a bachelor's degree in a specific field such as supply chain management, industrial engineering, or business administration.
Which cities in Wisconsin have the most operations intern sponsorship opportunities?
Madison and Milwaukee concentrate the largest share of operations intern opportunities in Wisconsin. Madison benefits from proximity to the University of Wisconsin-Madison and employers like Epic Systems and American Family Insurance. Milwaukee draws from a strong manufacturing and logistics base, with companies such as Rockwell Automation and Harley-Davidson maintaining internship programs. Green Bay and Appleton also offer opportunities through food processing and paper manufacturing employers in the Fox Valley region.
How to find operations intern visa sponsorship jobs in Wisconsin?
Migrate Mate lets you filter operations intern roles specifically by state, so you can browse Wisconsin positions where employers have indicated openness to visa sponsorship. Because operations internships vary widely by industry, filtering by role and location together on Migrate Mate helps you identify companies in manufacturing, healthcare, and logistics that are actively recruiting international candidates in Wisconsin rather than sorting through roles that may not apply.
Are there state-specific considerations for operations interns seeking sponsorship in Wisconsin?
Wisconsin's manufacturing and agriculture-driven economy means many operations intern roles are tied to industrial or supply chain functions, which generally align well with specialty occupation criteria. The University of Wisconsin system has strong co-op and internship pipelines that connect international students to Wisconsin employers. Students should confirm that their specific role and degree combination satisfies OPT eligibility requirements with their Designated School Official before accepting an offer.
What is the prevailing wage for sponsored operations intern jobs in Wisconsin?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.