Operations Lead Visa Sponsorship Jobs in Wisconsin
Operations lead roles in Wisconsin span manufacturing, logistics, and healthcare, with employers like Oshkosh Corporation, Kohler, and Epic Systems among those that have historically sponsored skilled foreign workers. Madison, Milwaukee, and Green Bay are the primary hiring centers. International candidates typically need H-1B visa or E-3 visa sponsorship for these positions.
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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 Lead Job Roles in Wisconsin
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Search Operations Lead Jobs in WisconsinOperations Lead Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for operations leads in Wisconsin?
Several large Wisconsin employers have sponsored foreign workers for operations and management roles. Oshkosh Corporation in Oshkosh, Kohler Co. in Kohler, Kohl's in Menomonee Falls, and Epic Systems in Verona have appeared in Department of Labor LCA filings for operations-related positions. Sponsorship availability varies by business need and hiring cycle, so direct employer outreach and monitoring active job postings is the most reliable approach.
Which visa types are most common for operations lead roles in Wisconsin?
The H-1B is the most common visa category for operations lead positions in Wisconsin, provided the role qualifies as a specialty occupation requiring a relevant bachelor's degree or higher. Australian citizens may qualify for the E-3 visa, which follows a similar process without a lottery. TN visas are available to Canadian and Mexican nationals in certain management and engineering classifications. L-1A is another pathway for those transferring internally from a foreign affiliate.
Which cities in Wisconsin have the most operations lead sponsorship jobs?
Madison and Milwaukee account for the largest share of operations lead sponsorship activity in Wisconsin. Madison benefits from Epic Systems and a strong healthcare and tech employer base, while Milwaukee's industrial and consumer goods sector, including companies like Harley-Davidson and Rockwell Automation, generates demand for operations professionals. Green Bay and Appleton also see sponsorship activity tied to manufacturing and food processing industries.
How to find operations lead visa sponsorship jobs in Wisconsin?
Migrate Mate is the most direct way to find operations lead visa sponsorship jobs in Wisconsin, with listings filtered specifically by role and state so you are not sorting through positions that do not offer sponsorship. Wisconsin's sponsorship opportunities tend to concentrate in manufacturing, supply chain, and healthcare operations, so filtering by those industries on Migrate Mate helps narrow results to the most active employers in the state.
Are there any Wisconsin-specific considerations for operations lead visa sponsorship?
Wisconsin's manufacturing and healthcare sectors drive most operations lead hiring, which means prevailing wage determinations under H-1B rules are benchmarked against those industries. The state has a notable university pipeline through UW-Madison and Marquette University, and some employers near those campuses are familiar with sponsoring graduates transitioning from OPT. Operations lead roles that involve significant supervisory or business function components generally support specialty occupation classification more clearly than generalist titles.
What is the prevailing wage for sponsored operations lead 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.