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Remote Machine Vision Engineer Jobs in Wisconsin

EnsoData

Implementation Engineer

Madison, WI · On-site +1

$80K - $85K/yr

In short: we're looking to connect with Implementation Engineers (hybrid or remote) who are ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

Cloudera

$171K - $210K/yr

Presenting product roadmap and vision to inspire your customers to think bigger * Interfacing with ... Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ...

INNIO

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ... rotating machinery, and power generation segments * Technical and commercial leadership ...

Innio

Sales Applications Engineer

Waukesha, WI · On-site +1

$104K - $128K/yr

This position can belocatedanywhere in the United Statesas a remote role.Regionalvicinity of our ... rotating machinery, and power generation segments * Technical and commercial leadership ...

micro1 AI

Domain Expert - (STEM PhD)

Milwaukee, WI · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Qualysoft

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning Erfahrung in der Entwicklung ...

Ruekert & Mielke

Project Engineer

Green Bay, WI · On-site +1

Remote/flexible hours * Generous personal time off and holiday programs * Health, dental, vision ... Our team of engineers, environmental scientists, and technology experts work as an extension of our ...

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Remote Machine Vision Engineer information

How do Remote Machine Vision Engineers typically collaborate with cross-functional teams given the remote nature of the role?

Remote Machine Vision Engineers often work closely with software developers, hardware engineers, and project managers through virtual meetings, collaborative platforms, and shared code repositories. Effective communication is essential to ensure alignment on project goals, technical specifications, and integration challenges. Regular video conferences, clear documentation, and agile project management tools help maintain productivity and foster team cohesion, despite being geographically dispersed.

What does a Remote Machine Vision Engineer do?

A Remote Machine Vision Engineer designs, develops, and implements computer vision systems that enable machines to interpret visual information, often working from a remote location. Their tasks include creating algorithms for image processing, integrating hardware like cameras, and collaborating with teams to solve automation or inspection challenges. They may work in industries such as manufacturing, robotics, or healthcare, using technologies like deep learning and neural networks. Remote Machine Vision Engineers typically use tools such as Python, OpenCV, and TensorFlow, and communicate with their teams via digital platforms. This role requires both strong programming skills and a deep understanding of image analysis techniques.

What are the key skills and qualifications needed to thrive as a Remote Machine Vision Engineer, and why are they important?

To thrive as a Remote Machine Vision Engineer, you need expertise in computer vision, image processing, programming (such as Python or C++), and a relevant engineering or computer science degree. Familiarity with frameworks like OpenCV, deep learning libraries (TensorFlow or PyTorch), and experience with cloud-based collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure the accurate design and deployment of vision solutions while maintaining productivity and collaboration in a remote work environment.
What are the most commonly searched types of Machine Vision Engineer jobs in Wisconsin? The most popular types of Machine Vision Engineer jobs in Wisconsin are:
What are popular job titles related to Remote Machine Vision Engineer jobs in Wisconsin? For Remote Machine Vision Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Machine Vision Engineer jobs in Wisconsin look for? The top searched job categories for Remote Machine Vision Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Machine Vision Engineer jobs? Cities in Wisconsin with the most Remote Machine Vision Engineer job openings:
Remote Machine Vision Engineer jobs near you
Infographic showing various Remote Machine Vision Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

Kubernetes DevOps Engineer (Remote)

Tartan Solutions

Milwaukee, WI • On-site, Remote

$52 - $71.25/hr

Full-time

Posted 2 days ago

Job description

We are looking for an experienced DevOps Engineers interested in building, maintaining, and scaling PlaidCloud on Kubernetes. This position requires a keen eye for detail to ensure consistency in provisioning and high availability of resources.
The position is also responsible for supporting many customer deployments through Kubernetes automation such as use of HPAs and VPAs to ensure good resource usage while maintaining a highly responsive system.
Key responsibilities include:
  • Staging servers and automated provisioning for Kubernetes cluster
  • Utilize ArgoCD ApplicationSets to manage many isolated deployments
  • Monitoring and managing databases and file backups using disk snapshots, Google Cloud Storage, and other approaches
  • Automate restoration of databases and backups
  • Monitoring and managing RabbitMQ in a high availability configuration
  • Managing and monitoring a Greenplum database clusters in a high availability shared nothing configuration
  • Managing and monitoring Redis in a high availability configuration
  • Monitoring server performance and optimizing server selection and cost
  • Deploy new machines as required to meet demand. Automate where possible.
  • Manage SSL certificates, firewalls, load balancers, and other infrastructure through our infrastructure provider
  • Monitor and test system intrusion processes
  • Manage and configure DoS prevention tools
  • Make recommendations and work with software development teams to improve infrastructure usage and simplify design where possible
  • Deploy and improve logging and monitoring metrics to support insight and prioritize engineering changes
  • Improve the use of tracking metrics to better understand usage patterns
  • Work with the software development teams to close testing gaps and support continuous integration processes
  • Ensure a Kubernetes first approach with highly automated processes, best practices, and good resource usage

Ideal Qualifications
  • Strong familiarity with DevOps processes and approaches, especially with GitOps Kubernetes solutions
  • Experience with deployment tools and deployment automation
  • Strong understanding of Linux/Unix configuration processes
  • Strong understanding of security best practices
  • Strong understanding of Jenkins and Github Actions automation pipelines
  • Strong written communications skills

Bonus Qualifications
  • Experience with ArgoCD
  • Experience with Google Kubernetes Engine (GKE)
  • Experience with Greenplum databases
  • Experience with Python
  • Experience with Redis
  • Experience with RabbitMQ
  • Experience with Apache Superset
  • Experience with network and web application security
  • Experience with Git/GitHub automation

Apply