ML Ops Engineer
Fox Point, WI · On-site
... 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 ...
ML Ops Engineer
Fox Point, WI · On-site
... 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 ...
ML Ops Engineer
Greendale, WI · On-site
... 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 ...
ML Ops Engineer
Greendale, WI · On-site
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
ML Ops Engineer
Greenfield, WI · On-site
... 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 ...
ML Ops Engineer
Greenfield, WI · On-site
... 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 ...
ML Ops Engineer
Hubertus, WI · On-site
... 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 ...
ML Ops Engineer
Hubertus, WI · On-site
... 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 ...
... 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 ...
... 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 ...
ML Ops Engineer
North Lake, WI · On-site
... 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 ...
ML Ops Engineer
North Lake, WI · On-site
... 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 ...
... 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 ...
... 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 ...
ML Ops Engineer
Lannon, WI · On-site
... 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 ...
ML Ops Engineer
Lannon, WI · On-site
... 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 ...
ML Ops Engineer
Waukesha, WI · On-site
... 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 ...
ML Ops Engineer
Waukesha, WI · On-site
... 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 ...
... 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 ...
... 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 ...
ML Ops Engineer
Milwaukee, WI · On-site
... 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 ...
ML Ops Engineer
Milwaukee, WI · On-site
... 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 ...
ML Ops Engineer
Saint Francis, WI · On-site
... 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 ...
ML Ops Engineer
Saint Francis, WI · On-site
... 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 ...
ML Ops Engineer
Delafield, WI · On-site
... 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 ...
ML Ops Engineer
Delafield, WI · On-site
... 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 ...
ML Ops Engineer
Sussex, WI · On-site
... 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 ...
ML Ops Engineer
Sussex, WI · On-site
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
ML Ops Engineer
Wauwatosa, WI · On-site
... 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 ...
ML Ops Engineer
Wauwatosa, WI · On-site
... 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 ...
Developer Operations Infrastructure Engineer information
See Milwaukee, WI salary details
$33.87 - $39.68
7% of jobs
$39.68 - $45.49
7% of jobs
$45.49 - $51.31
2% of jobs
$53.59 is the 25th percentile. Wages below this are outliers.
$51.31 - $57.12
22% of jobs
The median wage is $58.71 / hr.
$57.12 - $62.93
43% of jobs
$62.93 - $68.75
6% of jobs
$68.75 - $74.56
0% of jobs
$74.56 - $80.37
0% of jobs
$80.37 - $86.19
0% of jobs
$86.19 - $92
0% of jobs
$92 - $97.81
12% of jobs
$33
$62
$97
How much do developer operations infrastructure engineer jobs pay per hour?
As of Sep 9, 2026, the average hourly pay for developer operations infrastructure engineer in Milwaukee, WI is $62.25, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $62.07 per hour, depending on experience, location, and employer.
What is the difference between Developer Operations Infrastructure Engineer vs DevOps Engineer?
| Aspect | Developer Operations Infrastructure Engineer | DevOps Engineer |
|---|---|---|
| Credentials | Typically requires software development and infrastructure certifications (e.g., AWS, Azure) | Often holds certifications in cloud platforms, automation, and CI/CD tools |
| Work Environment | Works closely with development and IT teams to build and maintain infrastructure | Collaborates across development, operations, and QA teams to streamline deployment processes |
| Industry Usage | Common in tech companies focusing on scalable infrastructure and deployment | Widely used in organizations adopting DevOps practices for continuous integration and delivery |
The Developer Operations Infrastructure Engineer focuses on building and maintaining infrastructure to support development workflows, often with a strong emphasis on automation and cloud services. The DevOps Engineer has a broader role, integrating development and operations to improve deployment frequency and reliability. While both roles overlap in automation and cloud skills, the Developer Operations Infrastructure Engineer is more infrastructure-centric, whereas the DevOps Engineer emphasizes process and culture transformation.
What does a developer operations infrastructure engineer do?
A developer operations infrastructure engineer designs, implements, and maintains the underlying systems and tools that support software development and deployment. They work with cloud platforms, automation, and configuration management to ensure reliable, scalable, and efficient infrastructure for development teams. Strong knowledge of scripting, networking, and monitoring tools is essential for this role.
What is a developer operations infrastructure engineer?
A developer operations infrastructure engineer is responsible for designing, implementing, and maintaining the underlying infrastructure that supports software development and deployment. They work with cloud platforms, automation tools, and scripting to ensure reliable, scalable, and efficient systems for development teams. Strong knowledge of CI/CD pipelines, containerization, and infrastructure-as-code is typically required.
What cities near Milwaukee, WI are hiring for Developer Operations Infrastructure Engineer jobs?
Cities near Milwaukee, WI with the most Developer Operations Infrastructure Engineer job openings:
ML Ops Engineer
Fox Point, WI • On-site
Techvilla Solutions •
IT Services • 51 - 200 employees51 - 200 employees
Full-time
Posted 20 days ago
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