Business Operations Associate Visa Sponsorship Jobs in Wisconsin
Business operations associate roles in Wisconsin are concentrated in Milwaukee, Madison, and Green Bay, with employers like Northwestern Mutual, Fiserv, American Family Insurance, and Epic Systems regularly hiring for these positions. International candidates pursuing visa sponsorship will find the most opportunity in Wisconsin's financial services, health tech, and insurance sectors.
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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/
Business Operations Associate Job Roles in Wisconsin
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Search Business Operations Associate Jobs in WisconsinBusiness Operations Associate Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for business operations associates?
Milwaukee-based financial services and insurance firms lead sponsorship activity for business operations associates in Wisconsin. Northwestern Mutual, Fiserv, and American Family Insurance have documented H-1B visa sponsorship histories for operations and analytics roles. Madison's health tech sector, anchored by Epic Systems, also hires internationally for business operations functions. Sponsorship availability varies by role, team, and hiring cycle, so confirming with each employer directly is important.
Which visa types are most common for business operations associate roles in Wisconsin?
The H-1B is the most common visa for business operations associates in Wisconsin, particularly for roles requiring a bachelor's degree in business, finance, operations management, or a related field. Some candidates transition from F-1 OPT or STEM OPT if their degree qualifies. The role must meet USCIS specialty occupation standards, meaning the position requires a specific degree rather than any general bachelor's degree.
How to find business operations associate visa sponsorship jobs in Wisconsin?
Migrate Mate is designed specifically for this search. You can filter for business operations associate roles in Wisconsin and see which employers are actively open to sponsoring international candidates. This is more targeted than general job searching because listings are screened for sponsorship eligibility. For international candidates in Wisconsin's financial services or health tech sectors, using Migrate Mate saves significant time compared to manually vetting each employer.
Which cities in Wisconsin have the most business operations associate sponsorship jobs?
Milwaukee accounts for the largest share of business operations associate sponsorship activity in Wisconsin, driven by its concentration of financial services, insurance, and consulting employers. Madison is the second-largest market, supported by Epic Systems, state government contractors, and university-affiliated organizations. Green Bay has a smaller but active market, particularly in logistics and manufacturing operations. Remote-friendly roles at Wisconsin-headquartered firms can also expand options beyond these cities.
Are there any Wisconsin-specific considerations for business operations associate visa sponsorship?
Wisconsin's prevailing wage requirements for sponsored roles are set by the Department of Labor and apply statewide, with Milwaukee and Madison generally posting higher wage levels than smaller markets. The University of Wisconsin system produces a consistent pipeline of international graduates in business and operations fields, meaning employers in Madison are relatively familiar with OPT-to-H-1B transitions. Candidates should confirm that the specific role description supports a specialty occupation determination before accepting an offer contingent on sponsorship.
What is the prevailing wage for sponsored business operations associate 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.