ML Software Engineer Visa Sponsorship Jobs in Wisconsin
ML software engineer visa sponsorship jobs in Wisconsin are concentrated in Madison and Milwaukee, where employers like Epic Systems, American Family Insurance, and Exact Sciences hire for machine learning roles. The state's strong healthcare IT sector and research ties to the University of Wisconsin-Madison create steady demand for ML talent requiring H-1B visa and related work visas.
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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/
ML Software Engineer Job Roles in Wisconsin
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Search ML Software Engineer Jobs in WisconsinML Software Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for ML software engineers?
Epic Systems in Verona is one of Wisconsin's most active sponsors, regularly hiring ML engineers for healthcare data applications. American Family Insurance in Madison and Exact Sciences in Madison also sponsor for machine learning roles. Larger tech contractors and consulting firms operating in the Milwaukee metro, including Cognizant and Infosys, have a track record of H-1B sponsorship for ML-related positions across the state.
Which visa types are most common for ML software engineer roles in Wisconsin?
The H-1B is the most common visa for ML software engineers in Wisconsin, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a closely related field. OPT and STEM OPT extensions are frequently used by University of Wisconsin-Madison graduates to begin employment before transitioning to H-1B sponsorship. O-1A visas occasionally apply for ML researchers with exceptional publication records.
Which cities in Wisconsin have the most ML software engineer sponsorship jobs?
Madison accounts for the majority of ML software engineer sponsorship activity in Wisconsin, driven by Epic Systems, Exact Sciences, and proximity to UW-Madison's computer sciences and data science programs. Milwaukee is the second-largest market, with financial services firms and healthcare organizations posting ML roles. The Fox Valley corridor, including Appleton, sees occasional ML openings tied to manufacturing automation and insurance analytics.
How to find ml software engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML software engineer roles in Wisconsin without sorting through positions that don't offer sponsorship. You can filter by state and role type to see active openings at Wisconsin employers like Epic Systems and others in the healthcare IT and insurance sectors. This saves significant time compared to searching general job boards where sponsorship status is rarely listed upfront.
Are there any state-specific factors that affect ML software engineer visa sponsorship in Wisconsin?
Wisconsin's ML hiring is heavily influenced by the healthcare IT sector, which means many sponsored roles require domain knowledge in clinical data, EHR systems, or insurance analytics alongside core ML skills. The University of Wisconsin-Madison produces a significant pipeline of ML talent, creating OPT-to-H-1B pathways that are well-established at Madison-area employers. Wisconsin does not have additional state-level immigration requirements, but prevailing wage compliance under the H-1B program is determined by the Madison or Milwaukee metropolitan statistical area, depending on the work location.
What is the prevailing wage for sponsored ml software engineer 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.