AI ML Engineering Visa Sponsorship Jobs in Wisconsin
Wisconsin's AI and ML engineering market is anchored by Epic Systems in Verona, American Family Insurance in Madison, and a growing cluster of tech employers in the Milwaukee metro. Madison's university research ecosystem and proximity to Chicago make it a regional draw for international talent seeking visa sponsorship in machine learning, NLP, and data-driven product engineering.
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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 Engineering Job Roles in Wisconsin
See all 112+ AI ML Engineering Jobs in Wisconsin
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Search AI ML Engineering Jobs in WisconsinAI ML Engineering Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Wisconsin?
Epic Systems, American Family Insurance, Northwestern Mutual, Exact Sciences, and Fetch Rewards are among Wisconsin employers with documented H-1B visa sponsorship activity for technical roles. Epic in particular hires machine learning engineers at scale at its Verona campus. Larger employers in the Madison and Milwaukee metros are generally more likely to have established sponsorship processes than smaller startups.
Which visa types are most common for AI ML engineering roles in Wisconsin?
The H-1B is the most common visa for AI and ML engineers in Wisconsin, as these roles typically qualify as specialty occupations 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 may work for a sponsoring employer before H-1B status begins. O-1A is an option for engineers with demonstrated exceptional ability.
Which cities in Wisconsin have the most AI ML engineering sponsorship jobs?
Madison is the strongest market, driven by Epic Systems, the University of Wisconsin-Madison's research commercialization activity, and a growing startup scene. Milwaukee is the second hub, with financial services firms like Northwestern Mutual and ManpowerGroup investing in AI capabilities. Verona, immediately west of Madison, is effectively an extension of that market given Epic's headquarters there.
How to find ai ml engineering visa sponsorship jobs in Wisconsin?
Migrate Mate lets you filter AI and ML engineering jobs specifically by visa sponsorship availability and state, so you can browse Wisconsin-based roles without manually vetting each employer. Given that sponsorship willingness varies significantly by company size and HR infrastructure in Wisconsin, using a platform like Migrate Mate that screens for sponsoring employers saves considerable time for international candidates targeting this market.
Are there any Wisconsin-specific considerations for AI ML engineers seeking visa sponsorship?
Wisconsin's university pipeline, particularly from UW-Madison's computer science and statistics programs, means employers here are accustomed to hiring international graduates with OPT work authorization. The state has no dedicated tech visa incentive program, so sponsorship depends entirely on individual employer policy. AI and ML roles in Wisconsin's dominant industries, including insurance, healthcare IT, and financial services, tend to require domain knowledge alongside core ML skills.
What is the prevailing wage for sponsored ai ml engineering 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.