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Ml Infrastructure Engineer Jobs in Wisconsin (NOW HIRING)

Myparadigm

WI · On-site

$140 - $190/hr

... infrastructure, and AI-powered innovation. What You Will Do: * Design, build, and maintain scalable ... Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring ...

Paradigm

WI · On-site

$120 - $180/hr

... infrastructure, and AI-powered innovation. What You Will Do: * Design, build, and maintain scalable ... Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring ...

Paradigm

Senior ML Ops Engineer

Middleton, WI · On-site

$123K - $170K/yr

... infrastructure, and AI-powered innovation. What You Will Do: · Design, build, and maintain ... Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment ...

Socket.dev

Principal Applied AI/ML Engineer

Oregon, WI · On-site

$93 - $137/hr

Job Requisition ID # 26WD99166 Position Overview We are hiring a Principal Applied AI/ML Engineer ... Lead infrastructure thinking for distributed and cross‑regional services where availability ...

New

NELNET BUSINESS SOLUTIONS

AI / ML Engineer

Madison, WI · Remote

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Design and implement scalable AI pipelines and services on AWS, using infrastructure as code ...

New

Qualysoft

Der Fokus liegt auf Big-Data-Engineering , ML/LLM-Workloads , MLOps-Automatisierung sowie der ... Nachweis der Infrastruktur) PLUS: Erfahrung mit Data- und KI-Governance Erfahrung in der Konzeption ...

Show Pad

WI · On-site

$138.17 - $184.23/hr

Investigate systems deeply and reverse-engineer problems when documentation or context is limited ... AI Infrastructure Operations: Opportunity to build, scale, and optimize specialized AI/ML ...

CliftonLarsonAllen

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

... infrastructure, tooling, and platforms, providing day-to-day leadership through coaching ... Leadership-level expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

Cliftonlarsonallen

Lead ML Ops Engineer

Racine, WI

$96K - $126K/yr

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

Cliftonlarsonallen

Lead ML Ops Engineer

Milwaukee, WI

$101K - $133K/yr

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday ... Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.

Qualysoft

Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI ... AKS) Erfahrung mit Infrastructure as Code Hohe Lernbereitschaft und Interesse an neuen ...

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All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Wisconsin

Ml Infrastructure Engineer information

See Wisconsin salary details

$46.9K

$128.3K

$183.7K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ml infrastructure engineer in Wisconsin is $128,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $142,300.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Wisconsin? For Ml Infrastructure Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Ml Infrastructure Engineer jobs in Wisconsin look for? The top searched job categories for Ml Infrastructure Engineer jobs in Wisconsin are:
Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,255 per year, or $61.7 per hour.

Senior ML Ops Engineer

Myparadigm

WI • On-site

$140 - $190/hr

Other

Posted 4 days ago

Job description

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.

What You Will Do:
  • 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.
What You Need to Succeed:
  • 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.

Ready to Join? Apply now at myparadigm.com/careers/

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