Business Operations Analyst Visa Sponsorship Jobs in Wisconsin
Business operations analyst roles in Wisconsin are concentrated in Milwaukee, Madison, and Green Bay, with employers like Northwestern Mutual, Fiserv, Epic Systems, and Advocate Aurora Health actively hiring analysts. Wisconsin's financial services, healthcare IT, and insurance sectors generate steady demand for operations talent, making it a realistic market for international candidates seeking visa sponsorship.
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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 Analyst Job Roles in Wisconsin
See all 166+ Business Operations Analyst Jobs in Wisconsin
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Search Business Operations Analyst Jobs in WisconsinBusiness Operations Analyst Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for business operations analysts?
Northwestern Mutual and Fiserv in Milwaukee are among the most consistent sponsors for business operations analyst roles, given their large analytical teams in financial services. Epic Systems in Verona regularly hires operations analysts in healthcare IT. Advocate Aurora Health and American Family Insurance also appear in Department of Labor disclosure data for H-1B visa filings in operations and analyst classifications.
Which visa types are most common for business operations analyst roles in Wisconsin?
The H-1B is the most common visa for business operations analysts in Wisconsin, as the role typically qualifies as a specialty occupation requiring a bachelor's degree in business, finance, or a related field. Candidates with Canadian or Mexican citizenship may qualify for the TN visa under the NAFTA/USMCA professional categories. Australians may be eligible for the E-3 visa, which has no lottery and is easier to obtain.
Which cities in Wisconsin have the most business operations analyst sponsorship jobs?
Milwaukee accounts for the largest share of business operations analyst sponsorship activity in Wisconsin, driven by its concentration of financial services, insurance, and healthcare firms. Madison is the second strongest market, anchored by Epic Systems, the University of Wisconsin system, and a growing tech sector. Green Bay has a smaller but active market, particularly in manufacturing operations and food processing companies.
How to find business operations analyst visa sponsorship jobs in Wisconsin?
Migrate Mate is built specifically for international candidates and filters business operations analyst roles in Wisconsin by visa sponsorship eligibility, so you're not sifting through postings from employers who won't sponsor. The platform surfaces roles from companies with documented sponsorship histories in Wisconsin, including those in Milwaukee's financial services corridor and Madison's healthcare IT sector, saving significant time in your search.
Are there any Wisconsin-specific considerations for business operations analysts seeking visa sponsorship?
Wisconsin employers sponsoring H-1B visas for business operations analysts must pay the Department of Labor prevailing wage for the role in the specific metro area, so wages differ between Milwaukee, Madison, and smaller markets. The University of Wisconsin system serves as a significant pipeline for international graduates entering analyst roles, and UW-Madison alumni networks can be a useful entry point into Wisconsin employers with established sponsorship programs.
What is the prevailing wage for sponsored business operations analyst 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.