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Remote Director Machine Learning 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: ...

Data Engineer

Madison, WI · On-site +1

$82.13K - $102.60K/yr

... machine learning. The incumbent will serve as a subject matter expert as it relates to the Circuit ... Certain positions with this Department may allow remote work for a portion of their work schedule ...

New

... End Machine-Learning-Workflows von der Entwicklung bis zum produktiven Einsatz. Rahmenbedingungen Start: ASAP Laufzeit: Ende 2026, Verlangerung moglich Auslastung: 100 % Arbeitsmodell: Remote ...

Azure MFA Architect

Racine, WI · Remote

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

Azure MFA Architect

Racine, WI · On-site +1

$59.50 - $77.50/hr

... machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on ... Contract Job Location: 100% REMOTE WORK (Customer located at Racine, WI) Duration: 12+ Months ...

AI Engineer

Verona, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

New

AI Engineer

Waunakee, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

AI Engineer

Waunakee, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

New

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

AI Engineer

Madison, WI · Remote

$200K/yr

AI Engineer | Permanent | No Sponsorship Available | Remote ABOUT OUR CLIENT * The company is ... machine learning fundamentals * Practical experience with deep learning frameworks, RAG ...

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 ...

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Showing results 1-20

Remote Director Machine Learning information

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

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What does a Remote Director of Machine Learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What are popular job titles related to Remote Director Machine Learning jobs in Wisconsin? For Remote Director Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Director Machine Learning jobs? Cities in Wisconsin with the most Remote Director Machine Learning job openings:
Vice President, Data Architecture and Engineering (Remote)

Vice President, Data Architecture and Engineering (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

$180.70K - $232.90K/yr

Other

Posted 4 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th of 21 rated department stores


Job description

About the Role

The VP, Data Architecture and Engineering is accountable for the vision, strategy, and execution of the enterprise data platform and engineering capabilities that enable business growth, operational efficiency, and customer centric innovation. This leader partners closely with business and technology teams to elevate data into a durable and scalable enterprise asset. In alignment with the VP of A.I and Transformation, who defines enterprise A.I strategy and prioritizes business use cases, this role owns the data architecture, platforms, and engineering foundations required to operationalize, scale, and reliably run A.I solutions in production across the enterprise.

What You’ll Do

  • Define and own the data product and technical data science strategy, aligning with enterprise technology and business priorities

  • Lead the design, development, and lifecycle management of data products that support business operations, customer insights, and innovation

  • Build and scale data science capabilities, including machine learning, AI-driven solutions, and advanced analytics to optimize retail operations and customer engagement

  • Partner with business units, analytics, engineering, and product management to prioritize high-value use cases for both data products and data science applications

  • Oversee data governance, stewardship, and metadata management to ensure accuracy, compliance, and trust

  • Champion modern data and AI architectures, including cloud-native platforms, APIs, data streaming services, and real-time analytics

  • Drive data democratization, ensuring business users can easily discover, access, and leverage insights

  • Foster a product mindset and a research-to-production pipeline for data science solutions, ensuring scalability and usability

  • Manage, mentor, and grow a high-performing team of data product managers, architects, engineers, and data scientists

  • Define and monitor KPIs for both data products and data science initiatives, ensuring outcomes translate into tangible business impact

  • Represent data strategy at the executive level, influencing enterprise decisions and advocating for innovation

  • Additional tasks may be assigned

What Skills You Have

Required

  • 12+ years of experience in data leadership roles, including data product management, data platforms, and data science

  • Proven track record of building and scaling data products and machine learning/AI solutions in large, complex organizations

  • Strong expertise in modern data and AI/ML architectures, including cloud platforms (AWS, GCP, or Azure), data lakes/warehouses, and governance frameworks 

  • Exceptional executive communication and stakeholder management skills, with the ability to influence across business and technology functions

  • Demonstrated success in leading cross-functional teams spanning data science, engineering, and product management


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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