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Kubernetes Engineer Jobs in Wisconsin (NOW HIRING)

Techvilla Solutions

ML Ops Engineer

North Lake, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Milwaukee, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Resolve Tech Solutions, LLC

WI · On-site

$120 - $150/hr

... Engineer is responsible for leading the design, implementation, and optimization of scalable ... Design and manage containerized environments using Docker and orchestrate workloads with Kubernetes ...

New

Techvilla Solutions

ML Ops Engineer

Sussex, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

West Milwaukee, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Genesee Depot, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Mequon, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Glendale, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Hive-X

WI · On-site

$90 - $120/hr

Platform Engineer -- NIHDI IT Platform Team About the Role The Platform Engineer is a key member of ... Design, build, and maintain Azure Kubernetes Service (AKS) clusters -- both private and public ...

New

Techvilla Solutions

ML Ops Engineer

Big Bend, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Germantown, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Vernon, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Bayside, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Brookfield, WI

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Greendale, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Menomonee Falls, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Merton, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Richfield, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Elm Grove, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

Techvilla Solutions

ML Ops Engineer

Franklin, WI · On-site

Build scalable infrastructure using Docker, Kubernetes, and cloud services. * Monitor model ... Collaborate with Data Scientists, ML Engineers, Data Engineers, and DevOps teams. * Troubleshoot ...

Posted today

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ML Ops Engineer

Techvilla Solutions

North Lake, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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.
Required Skills
  • 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.
Preferred Skills
  • 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.
Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.

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