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Manager Remote Machine Learning Engineer Jobs in Wisconsin

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 ...

Technical Services Engineer

Madison, WI · On-site +1

$80K - $85K/yr

Manage and prioritize multiple incoming customer issues, balancing urgency and impact to ensure ... Using AI and machine learning, our software analyzes billions of data points collected from sensors ...

$171K - $210K/yr

With as much data under management as the hyperscalers, we're the preferred data partner for the ... Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ...

... AI and machine learning, and owning the key performance indicators tied to their initiatives ... Key partners include State Product Managers, AAA Partner Club agents and leaders, and teams across ...

... AI and machine learning, and owning the key performance indicators tied to their initiatives ... Key partners include State Product Managers, AAA Partner Club agents and leaders, and teams across ...

... AI and machine learning, and owning the key performance indicators tied to their initiatives ... Key partners include State Product Managers, AAA Partner Club agents and leaders, and teams across ...

Implementation Manager

Milwaukee, WI · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

$211K - $246K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Proven experience managing data engineering, analytics engineering, BI, or analytics teams ...

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Manager Remote Machine Learning Engineer information

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
What are popular job titles related to Manager Remote Machine Learning Engineer jobs in Wisconsin? For Manager Remote Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Manager Remote Machine Learning Engineer jobs in Wisconsin look for? The top searched job categories for Manager Remote Machine Learning Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Wisconsin with the most Manager Remote Machine Learning Engineer job openings:
Infographic showing various Manager Remote Machine Learning Engineer job openings in Wisconsin as of May 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

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

Qualysoft

On-site, Remote

Contractor

Posted 6 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. 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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