AI ML Engineer Visa Sponsorship Jobs in Wisconsin
Wisconsin's AI and ML engineering market centers on Milwaukee, Madison, and the Fox Valley corridor, where employers like Epic Systems, Northwestern Mutual, Fiserv, and Rockwell Automation have built out data science and machine learning teams. Companies across healthcare IT, financial services, and industrial automation regularly hire AI/ML engineers and have established visa sponsorship programs for international candidates.
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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/
AI ML Engineer Job Roles in Wisconsin
See all 113+ AI ML Engineer Jobs in Wisconsin
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Search AI ML Engineer Jobs in WisconsinAI ML Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for AI ML engineers?
Epic Systems in Verona, Northwestern Mutual and Fiserv in Milwaukee, and Rockwell Automation in Milwaukee are among the Wisconsin employers with documented H-1B visa sponsorship histories for technical roles. Healthcare IT firm Exact Sciences and insurance technology companies in the Madison area have also filed Labor Condition Applications for AI and machine learning positions in recent years.
Which visa types are most common for AI ML engineer roles in Wisconsin?
The H-1B is the most common visa category for AI and ML engineers in Wisconsin, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension can work for a sponsoring employer while an H-1B petition is pending. The O-1A is an alternative for candidates with demonstrable research recognition or publications.
Which cities in Wisconsin have the most AI ML engineer visa sponsorship jobs?
Madison and Milwaukee account for the majority of AI and ML engineering sponsorship activity in Wisconsin. Madison's concentration of healthcare IT employers, anchored by Epic Systems, drives consistent demand. Milwaukee's financial services and manufacturing technology sector, including firms like Northwestern Mutual, Fiserv, and Rockwell Automation, adds a second significant hiring center. Green Bay and Appleton see smaller but growing demand tied to insurance and manufacturing companies.
How to find ai ml engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search AI and ML engineering roles in Wisconsin without having to manually screen each posting for sponsorship language. The platform surfaces positions from employers in Madison's healthcare IT sector, Milwaukee's financial services firms, and industrial technology companies across the state, making it more efficient to identify confirmed sponsorship opportunities for international candidates.
Are there any Wisconsin-specific factors AI ML engineers should know about visa sponsorship?
Wisconsin has a notable university pipeline through UW-Madison's computer science and statistics programs, which means employers in the state are familiar with hiring international graduates on OPT and transitioning them to H-1B status. The Department of Labor's prevailing wage determinations for AI and ML roles in the Madison and Milwaukee metropolitan areas set the minimum compensation employers must certify on the Labor Condition Application, and those figures differ between the two metros.
What is the prevailing wage for sponsored ai ml 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.