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Remote Machine Vision Engineer Jobs in Wisconsin

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 ...

EnsoData

Staff Engineer - Full Stack

Madison, WI · On-site +1

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Communication: Ability to communicate in a remote environment that strives to be diverse and ...

KEYENCE

Field Application Engineer '27

Wauwatosa, WI · On-site +1

$53K - $80K/yr

The title for this role may be called Application Engineer, Vision Consulting Engineer, or ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

HotRun Inc.

Field Service Engineer

Milwaukee, WI · Remote

This position is a remote position working from a home office and travelling to client's plants in ... Installation of newly purchased plastic molding machines at customer locations across the US. This ...

ThedaCare

Cybersecurity Engineer - Remote

Appleton, WI · On-site +1

Our new vision at ThedaCare is bold, ambitious, and ignited by a shared passion to provide ... We are looking for a Cyber Security Engineer to help strengthen our security posture and operations ...

HotRun Inc.

Field Service Engineer

Milwaukee, WI · Remote

$90K - $120K/yr

This position is a remote position working from a home office and travelling to client's plants in ... Installation of newly purchased plastic molding machines at customer locations across the US. This ...

SysLogic, Inc.

Security Engineer (AppSec)

Milwaukee, WI · On-site +1

$57.75 - $77.25/hr

As needed provide training on secured development principals in both remote and in person settings ... Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k) * Life Insurance (Basic ...

EnerSys

Application Security Engineer (REMOTE)

Adell, WI · Remote

$117K - $146K/yr

Medical/dental/vision insurance plan * Life insurance, short/long term disability, tuition ... Job Purpose The Application Security Engineer is responsible for strengthening the security of our ...

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Remote Machine Vision Engineer information

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?

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.

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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 20% In-person, and 80% Remote job distribution.

Azure AI / ML Engineer (m/w/d)

Qualysoft

On-site, Remote

Contractor

Re-posted 17 days ago

Job description

Fur ein langfristig angelegtes IT- und KI-Programm wird ein Azure AI / ML Engineer (m/w/d) gesucht. Ziel ist die Konzeption, Entwicklung, Implementierung und der Betrieb moderner KI-Losungen mit Schwerpunkt auf Large Language Models, Conversational AI, Multi-Agenten-Systemen sowie dem produktiven Einsatz skalierbarer Microsoft-Azure-Architekturen.Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI-Anwendungen und begleitet diese von der Anforderungsaufnahme bis zum produktiven Betrieb und Wissenstransfer.


520 - 560 a day
Rahmenbedingungen
Start: Marz/April 2026
Laufzeit: 3 Jahre (optional verlangerbar bis max. 5 Jahre)
Auslastung: 100 %
Arbeitsmodell: Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote
Projektsprache: Deutsch und Englisch

Aufgaben:
Konzeption, Entwicklung und Implementierung von LLM-basierten Conversational-AI-Losungen (z. B. RAG-Applikationen) in Microsoft Azure
Aufbau, Orchestrierung und Weiterentwicklung von AI-Agenten und Multi-Agenten-Systemen
Einsatz und Integration von Model Context Protocols (MCPs)
Aufnahme, Analyse und Strukturierung fachlicher Anforderungen in enger Abstimmung mit den betroffenen Fachbereichen
Agile Umsetzung der Losungen sowie kontinuierliche Weiterentwicklung im Austausch mit den Fachbereichen
Anbindung, Integration und Harmonisierung relevanter interner und externer Datenquellen
Rollout und nutzergerechte Bereitstellung der Losungen im operativen Betrieb
Ubergabe der Losungen an interne Teams inklusive Upskilling und Befahigung der Anwender
Sicherstellung von Skalierbarkeit, Sicherheit, Wartbarkeit und stabilem Betrieb der AI-Losungen

Anforderungen:
Tiefgreifendes Verstandnis und praktische Erfahrung mit Large Language Models und Conversational-AI-Losungen (z. B. RAG) in Azure
Erfahrung in der Konzeption, Entwicklung und Implementierung von AI-Agenten / Multi-Agenten-Systemen
Erfahrung im Einsatz von Model Context Protocols (MCPs)
Erfahrung im Anforderungsmanagement und in der Zusammenarbeit mit Fachbereichen
Erfahrung in der agilen Umsetzung und Weiterentwicklung technischer Losungen
Erfahrung in der Integration und Harmonisierung von Datenquellen
Erfahrung im Rollout und Betrieb produktiver Anwendungen
Erfahrung in der Ubergabe von Losungen, Dokumentation sowie Befahigung von Anwendern
Sehr gute Kenntnisse in Microsoft Azure, insbesondere:
Microsoft Foundry, Azure Cognitive Services, Azure Machine Learning
Erfahrung in der Entwicklung robuster und skalierbarer Anwendungen mit C# / .NET sowie Python
Erfahrung mit DevOps-Prinzipien und CI/CD-Pipelines
Praktische Erfahrung mit Docker und Azure Kubernetes Service (AKS)
Erfahrung mit Infrastructure as Code
Hohe Lernbereitschaft und Interesse an neuen Entwicklungen im Bereich Kunstliche Intelligenz

PLUS:
Kenntnisse in Confluence und JIRA
Erfahrung mit Azure API Management, Monitoring & Logging (Azure Monitor, Log Analytics) sowie Data Governance (Microsoft Purview)
Branchenkenntnisse in der Energieindustrie oder im offentlichen Sektor
Strukturierte und eigenverantwortliche Arbeitsweise
Hohe Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit sowie ausgepragtes Qualitatsbewusstsein
Interessiert?
Bitte senden Sie uns Ihren aktuellen Lebenslauf inklusive Ihrer Verfugbarkeit sowie Ihrer Stundensatzvorstellung.
Wir freuen uns auf Ihre Ruckmeldung.
Sie konnen mich gerne per E-Mail unter elena.kahraman@qualysoft.com oder uber LinkedIn kontaktieren.
Vielen Dank fur Ihr Verstandnis!
+43 699 14402417

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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