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Remote Full Stack Machine Learning Engineer Jobs in Wisconsin

... Betrieb skalierbarer Machine-Learning- und LLM-Losungen auf Azure Databricks von der ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

... to-End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz ... Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ...

Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods * Expert in using modern analytics tools, programming languages ...

JavaScript Tutor

Madison, WI · Remote

$40/hr

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... full-stack engineering coursework. * Conceptual Teaching & Problem-Solving: Skilled at breaking ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Supabase Tutor

Madison, WI · Remote

$40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Supabase Tutor

Milwaukee, WI · Remote

$40/hr

... and full-stack project development to support developers from Supabase beginners through advanced ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

$136K - $182K/yr

About this Role Reporting to the Engineering Manager, the Principal Software Engineer works in a ... A high degree of proficiency in building full-stack web systems, in both dynamic and highly cached ...

AI Automation Engineer -Remote

Racine, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Milwaukee, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Kenosha, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Menomonie, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Madison, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Whitewater, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

AI Automation Engineer -Remote

Green Bay, WI · On-site +1

$202K - $234K/yr

... full-stack development with strong skills in Python, React and JavaScript * Excellent debugging ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

This is remote position requiring occasional in-person office meetings for candidates residing in ... Debug and troubleshoot complex issues across the full stack of technologies to ensure optimal ...

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Showing results 1-20

Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Wisconsin? For Remote Full Stack Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Wisconsin look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Wisconsin with the most Remote Full Stack Machine Learning Engineer job openings:

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

Qualysoft

On-site, Remote

Contractor

Posted 17 days ago


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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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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