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Remote Prototyping Engineer Jobs in Wisconsin (NOW HIRING)

Qualysoft

... remote Projektsprache: Deutsch und Englisch Aufgaben: Datenanalyse und Prototyping mit Python in ... Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow ...

Motorola

$90K - $100K/yr

Candidates need the ability to collaborate, prototype, design, and implement data conversion ... REMOTE Basic Requirements Required Skills: * High School diploma, Bachelor's degree in Engineering ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Partner with data scientists and architects to translate research and prototypes into production ...

Yahara Software

Requirements Engineer

Madison, WI · On-site +1

This position offers remote work flexibility but is only open to candidates who reside in or are ... Utilization of rapid prototyping tools to facilitate development and maximize usability of ...

University of Wisconsin-Madison

BI Developer

Madison, WI · On-site +1

$80K/yr

Expectations regarding on-site vs. remote work will be discussed during the interview or during the ... Documents and presents complex options through mock-ups and prototypes to these audiences

CSAA

Leads the full lifecycle of innovation projects, including discovery, prototyping, experimentation ... Influences and aligns partners across product, business, design, engineering, analytics, and ...

CSAA

Leads the full lifecycle of innovation projects, including discovery, prototyping, experimentation ... Influences and aligns partners across product, business, design, engineering, analytics, and ...

CSAA

Leads the full lifecycle of innovation projects, including discovery, prototyping, experimentation ... Influences and aligns partners across product, business, design, engineering, analytics, and ...

CSAA

Leads the full lifecycle of innovation projects, including discovery, prototyping, experimentation ... Influences and aligns partners across product, business, design, engineering, analytics, and ...

Milwaukee Tool

PCB Designer II - Remote

Brookfield, WI · On-site +1

All our teams touch every step of the process, that is why our Engineering teams are some of the ... Work closely with PCB vendors to source prototypes from our design files (either 1-up or panelized ...

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Remote Prototyping Engineer information

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

To excel as a Remote Prototyping Engineer, you need a strong background in engineering fundamentals, rapid prototyping techniques, and experience in CAD design, typically backed by a relevant degree. Familiarity with prototyping tools such as 3D printers, CNC machines, and collaborative platforms like SolidWorks or Fusion 360 is essential; certifications in product design or manufacturing can be advantageous. Strong problem-solving skills, effective remote communication, and self-motivation are vital soft skills for success in distributed teams. These competencies enable efficient development of innovative prototypes, ensure clear collaboration, and drive project success in a remote environment.

What does a Remote Prototyping Engineer do?

A Remote Prototyping Engineer is responsible for designing, building, and testing prototypes of products or systems while working from a remote location. They use digital tools to collaborate with teams, create models, and iterate on designs based on feedback. Their work is essential in transforming concepts into tangible prototypes that can be evaluated for functionality, usability, and manufacturability. This role typically requires strong technical skills, experience with prototyping software, and effective remote communication abilities.

How does a Remote Prototyping Engineer typically collaborate with cross-functional teams while working remotely?

Remote Prototyping Engineers often work closely with product managers, designers, and developers to transform ideas into functional prototypes. Collaboration is facilitated through regular video meetings, shared digital workspaces, and version-controlled repositories for code and design assets. Effective communication and documentation are essential to ensure alignment across time zones and disciplines. By using collaborative tools like Slack, Figma, and GitHub, Remote Prototyping Engineers can efficiently iterate on prototypes and incorporate feedback from stakeholders, ensuring project momentum even in a distributed work environment.

What is the difference between Remote Prototyping Engineer vs Remote Product Designer?

AspectRemote Prototyping EngineerRemote Product Designer
Primary FocusDeveloping and testing prototypes to validate technical feasibilityDesigning user interfaces and experiences for products
Skills & CredentialsEngineering background, prototyping tools, technical knowledgeDesign skills, UX/UI tools, creativity
Work EnvironmentCollaborates with engineers and developersWorks closely with users, product managers, and developers
Industry UsageTech, hardware, software developmentTech, consumer apps, digital products

While both roles involve creating prototypes, the Remote Prototyping Engineer focuses on technical feasibility and engineering prototypes, whereas the Remote Product Designer emphasizes user experience and visual design. Understanding these differences helps in choosing the right role based on your skills and career goals.

What are popular job titles related to Remote Prototyping Engineer jobs in Wisconsin? For Remote Prototyping Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Prototyping Engineer jobs in Wisconsin look for? The top searched job categories for Remote Prototyping Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Prototyping Engineer jobs? Cities in Wisconsin with the most Remote Prototyping Engineer job openings:
Remote Prototyping Engineer jobs near you

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

Qualysoft

On-site, Remote

Contractor

Re-posted yesterday

Job description

Fur ein langfristig angelegtes Daten- und KI-Programm wird ein Databricks AI / ML Engineer (m/w/d) gesucht.
Ziel ist die Entwicklung, Implementierung und der Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der Datenaufbereitung uber Feature Engineering bis hin zu MLOps, Deployment und Monitoring.
Der Fokus liegt auf Big-Data-Engineering, ML/LLM-Workloads, MLOps-Automatisierung sowie der nahtlosen Integration in das Microsoft-Okosystem.
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:
Datenanalyse und Prototyping mit Python in Azure Databricks unter Einsatz gangiger ML-Frameworks
Entwicklung und Betrieb von Big-Data-Pipelines mit Apache Spark, Delta Lake und Databricks SQL
Durchfuhrung von Feature Engineering sowie Training, Versionierung und Deployment von Modellen mit Databricks MLflow
Entwicklung und Betrieb von ML- und LLM-Workloads auf Azure Databricks (inkl. Unity Catalog, Performance- und Kostenoptimierung)
End-to-End-Integration der Losungen in das Microsoft-Okosystem (z. B. API- und Schnittstellendesign, Orchestrierung mit Azure Functions und Logic Apps)
Aufbau und Weiterentwicklung von MLOps- und CI/CD-Pipelines fur automatisiertes Training, Testing, Deployment und Monitoring von ML- und LLM-Modellen sowie Agents
Durchfuhrung von Modell- und Datenmonitoring (Modellleistung, Daten-Drift, Bias) inklusive Wartungs- und Updateprozessen
Einsatz von AutoML-Tools zur Beschleunigung von Prototypen und Experimenten
Sicherstellung von Skalierbarkeit, Sicherheit und stabilen Betriebsprozessen der entwickelten Losungen

Fachliche Anforderungen:
Fundierte Kenntnisse in Datenanalyse und Prototyping mit Python in Azure Databricks
Erfahrung mit Machine-Learning-Frameworks wie TensorFlow, PyTorch und scikit-learn
Praktische Erfahrung im Big Data Engineering mit Apache Spark, Delta Lake und Databricks SQL
Kompetenz in Feature Engineering sowie Modell-Deployment mit managed Databricks MLflow
Erfahrung in der Entwicklung und dem Betrieb von ML- und LLM-Workloads auf Azure Databricks
Erfahrung mit End-to-End-Integrationen im Microsoft-Okosystem
Erfahrung im Aufbau von MLOps- und CI/CD-Pipelines fur ML- und LLM-Modelle sowie agentische Workflows
Erfahrung im Modell- und Datenmonitoring (Leistung, Drift, Bias) inklusive passender Wartungsstrategien
Praktische Erfahrung im Einsatz von AutoML-Tools
Vorhandensein einer eigenen, vom Produktivsystem des Auftraggebers getrennten Entwicklungsumgebung, die den aktuellen Standards fur Datensicherheit und Zugriffsschutz entspricht (inkl. Nachweis der Infrastruktur)

PLUS:
Erfahrung mit Data- und KI-Governance
Erfahrung in der Konzeption und Umsetzung agentischer Ansatze (Agenten, Multi-Agent-Systeme, agentische Workflows) mit Azure-Ressourcen
Erfahrung in der Umsetzung von End-to-End-Databricks-Projekten (von Datenaufbereitung und Feature Engineering uber Modelltraining und Deployment bis zu MLOps und Monitoring)
Branchenkenntnisse in der Energieindustrie
Strukturierte und analytische Arbeitsweise
Hohes Qualitatsbewusstsein und Verantwortungsbereitschaft
Sehr gute Kommunikationsfahigkeit gegenuber technischen und fachlichen Stakeholdern
Teamfahigkeit und Bereitschaft zur Wissensweitergabe

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Vielen Dank fur Ihr Interesse!

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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