Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration. * Deploy and ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...
New
Staff Software Engineer
Milwaukee, WI · On-site
$130 - $180/hr
... ML infrastructure, search and matching services, and data platform* **Drive technical strategy ... Establish engineering excellence:** define coding standards, CI/CD practices, testing strategies ...
Staff Software Engineer
Milwaukee, WI · On-site
$130 - $180/hr
... ML infrastructure, search and matching services, and data platform* **Drive technical strategy ... Establish engineering excellence:** define coding standards, CI/CD practices, testing strategies ...
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 ...
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 ...
Principal Engineer - AI /ML Platform
Stevens Point, WI · On-site
$168K - $356K/yr
As a Principal Engineer - ML Operations Platform, you will provide technical leadership in defining ... You will work across engineering, data science, infrastructure, security, and product organizations ...
Principal Engineer - AI /ML Platform
Stevens Point, WI · On-site
$168K - $356K/yr
As a Principal Engineer - ML Operations Platform, you will provide technical leadership in defining ... You will work across engineering, data science, infrastructure, security, and product organizations ...
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 ...
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 ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ...
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 ...
Senior AI/ML Engineer
Watertown, WI · On-site
$99K - $136K/yr
We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...
Senior AI/ML Engineer
Watertown, WI · On-site
$99K - $136K/yr
We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...
Senior AI/ML Engineer
Watertown, WI · On-site
$99K - $136K/yr
We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...
Senior AI/ML Engineer
Watertown, WI · On-site
$99K - $136K/yr
We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ... Cloud AI infrastructure fluency, specifically Databricks and AWS. * Experiment design and ...
Ml Infrastructure Engineer information
See Wisconsin salary details
$46.9K - $59.4K
1% of jobs
$59.4K - $71.8K
1% of jobs
$71.8K - $84.2K
4% of jobs
$84.2K - $96.7K
9% of jobs
$96.7K - $109.1K
10% of jobs
$109.8K is the 25th percentile. Wages below this are outliers.
$109.1K - $121.5K
10% of jobs
The median wage is $126.6K / yr.
$121.5K - $134K
39% of jobs
$136.6K is the 75th percentile. Wages above this are outliers.
$134K - $146.4K
7% of jobs
$146.4K - $158.8K
10% of jobs
$158.8K - $171.3K
9% of jobs
$171.3K - $183.7K
1% of jobs
$46.9K
$128.3K
$183.7K
How much do ml infrastructure engineer jobs pay per year?
As of Aug 23, 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?
| Aspect | ML Infrastructure Engineer | Data Engineer |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, experience with cloud platforms, scripting, and ML tools | Bachelor's/Master's in CS, experience with databases, ETL, and data pipelines |
| Work Environment | Focus on deploying and maintaining ML systems, cloud infrastructure, and automation | Designing and building data pipelines, managing large datasets, and data storage |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Finance, 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:
What cities in Wisconsin are hiring for Ml Infrastructure Engineer jobs?
Cities in Wisconsin with the most Ml Infrastructure Engineer job openings:
Job description
We are looking for an experienced ML Ops Engineer to build, automate, and maintain scalable machine learning infrastructure and deployment pipelines. The ideal candidate will have strong experience with cloud platforms, CI/CD, containerization, model deployment, monitoring, and ML lifecycle management.
Roles and Responsibilities- Build and maintain MLOps pipelines for model development, deployment, monitoring, and retraining.
- Automate ML workflows using CI/CD, infrastructure as code, and workflow orchestration.
- Deploy and manage machine learning models across cloud and on-premise environments.
- Implement model versioning, experiment tracking, feature management, and model governance.
- Build scalable infrastructure using Docker, Kubernetes, and cloud services.
- Monitor model performance, data quality, system health, and production workloads.
- Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams.
- Troubleshoot production ML systems and optimize reliability, scalability, and performance.
- Implement security, access controls, logging, and compliance best practices.
- 5+ years of experience in DevOps, ML Engineering, MLOps, or a related field.
- Strong experience with MLOps concepts and ML lifecycle management.
- Hands-on experience with Python and scripting.
- Experience with AWS, Azure, or GCP.
- Strong knowledge of Docker and Kubernetes.
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
- Experience with MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or similar ML platforms.
- Experience with Git, Terraform, and infrastructure automation.
- Knowledge of model monitoring, observability, data validation, and model performance tracking.
- Strong understanding of REST APIs, microservices, Linux, and cloud-native architectures.
- Experience with Apache Airflow, Databricks, Spark, or Kafka.
- Knowledge of LLMOps/GenAI deployment and monitoring.
- Experience with model serving frameworks such as KServe, Seldon, or NVIDIA Triton.
- Familiarity with Prometheus, Grafana, ELK, or similar observability tools.
- Understanding of ML security, governance, and responsible AI practices.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
About Techvilla Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
CA, US
Year founded
2006