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Applied Digital Jobs in Wisconsin (NOW HIRING)

Paradigm

WI · On-site

$120 - $150/hr

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML ...

GSP Companies

Digital Press Operator

Madison, WI · On-site

$18.75 - $23.75/hr

Job Summary: The Digital Press Operator is responsible for setting up print. Responsibilities ... Ability to identify texture of material such as if lamination has been applied and being able to ...

Faith Technologies Inc.

Digital Analyst II

Menasha, WI · Hybrid

$100K - $119K/yr

Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully ... The Digital Analyst II delivers a range of modern technology solutions while and implementing best ...

Faith Technologies

Digital Analyst II

Menasha, WI · Hybrid

$100K - $119K/yr

Cares about redefining how energy is designed, applied and consumed. Cares about thoughtfully ... The Digital Analyst II delivers a range of modern technology solutions while and implementing best ...

Cloudera

Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Job title: Manager, Applied AI Strategy and Operations ...

Cloudera

Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Job title: Manager, Applied AI Strategy and Operations ...

Cloudera

Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. Job title: Manager, Applied AI Strategy and Operations ...

Caterpillar Brazil

WI · On-site

$173 - $259/hr

Senior Principal Architect, Applied AI EnterpriseSkip to main contentThis site uses cookies to ... Technology, Digital and Data** ****Your Work Shapes the World at Caterpillar Inc.**When you join ...

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Caterpillar Brazil

WI · On-site

Senior Principal Architect, Applied AI EnterpriseSkip to main contentThis site uses cookies to ... Technology, Digital and Data Your Work Shapes the World at Caterpillar Inc. When you join ...

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Applied Digital information

What is an applied digital professional?

Applied digital jobs involve using digital technologies and data-driven solutions to solve real-world business problems. Professionals in this field work with tools like data analytics, software applications, and digital platforms to improve processes, enhance customer experiences, and support decision-making. Roles can range from digital project managers to data analysts, UX designers, and digital marketers. These jobs are found across industries as organizations increasingly rely on digital transformation to stay competitive.

What skills and qualifications are needed to thrive as an applied digital professional?

To thrive as an Applied Digital professional, you need a solid background in digital technologies, data analysis, and solution development, often supported by a relevant degree in computer science, information systems, or digital media. Familiarity with tools like data visualization platforms, cloud services, programming languages, and certifications in areas such as digital marketing or cloud computing is highly beneficial. Strong problem-solving, communication, and adaptability skills help you collaborate with cross-functional teams and respond effectively to evolving digital challenges. These competencies are crucial for delivering innovative digital solutions that drive business transformation and efficiency.

What are common challenges faced by applied digital professionals, and how can they be addressed?

Professionals in Applied Digital roles often encounter the challenge of keeping up with rapidly evolving technologies and digital tools. Staying current requires a commitment to continuous learning and professional development. Additionally, effectively collaborating with cross-functional teams—such as marketing, IT, and product management—can present communication and workflow obstacles. Building strong relationships and maintaining clear communication channels help ensure project goals are met efficiently. Adapting to changing project requirements and client expectations is also common, so flexibility and proactive problem-solving are essential for success in this field.

What is the difference between Applied Digital vs Digital Marketing Specialist?

AspectApplied DigitalDigital Marketing Specialist
Required CredentialsRelevant degrees, certifications in digital toolsMarketing degrees, certifications in SEO, SEM
Work EnvironmentDigital agencies, tech companies, marketing teamsMarketing firms, corporate marketing departments
Industry UsageUsed across tech, marketing, advertising sectorsPrimarily in marketing and advertising sectors

Applied Digital roles focus on digital technology implementation and digital project management, often requiring technical certifications. Digital Marketing Specialists concentrate on marketing strategies, content creation, and campaign management. While both roles operate in digital environments, Applied Digital is more technical, whereas Digital Marketing Specialists focus on marketing tactics and customer engagement.

What are popular job titles related to Applied Digital jobs in Wisconsin?

For Applied Digital jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Applied Digital jobs in Wisconsin look for?

The top searched job categories for Applied Digital jobs in Wisconsin are:

What cities in Wisconsin are hiring for Applied Digital jobs?

Cities in Wisconsin with the most Applied Digital job openings:

Applied Digital jobs near you
Infographic showing various Applied Digital job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Applied ML Engineer

Paradigm

WI • On-site

$120 - $150/hr

Other

Posted 13 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries.

We are looking for a Senior Applied ML Engineer to design, implement, and scale machine learning systems that power next-generation construction and digital twin solutions. You will apply advanced ML techniques—ranging from computer vision to large language models—to automate critical workflows such as blueprint understanding, 3D model generation, and materials forecasting. This role blends research, engineering, and domain expertise to deliver practical, production-ready AI systems that transform how homes are designed, estimated, and built.

What You Will Do
  • Develop and optimize CNN and LLM-powered models for computer vision, document extraction, and automated construction workflows.
  • Prototype, fine-tune, and assess models for NLP tasks such as classification, entity recognition, and summarization of construction data.
  • Build scalable ML pipelines and backend services that integrate into production-grade agents and digital platforms.
  • Drive the end-to-end ML lifecycle: from experimentation and training, to deployment, monitoring, and continuous improvement.
  • Integrate retrieval, ML, and rules-based methods to deliver reliable, explainable, and supportable features.
  • Collaborate closely with product managers, software engineers, and construction domain experts to solve real-world challenges with measurable business impact.
What You Need to Succeed
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
  • 5+ years of experience designing and deploying applied ML systems at scale.
  • Experience with computer vision (CNNs, object detection, segmentation) and natural language processing (LLMs, embeddings, transformers).
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent).
  • Experience with APIs, CI/CD pipelines, cloud platforms (AWS/Azure/GCP).
  • Ability to clearly communicate technical concepts to both engineers and non-technical stakeholders.
  • Experience applying ML in construction, CAD/BIM, architecture, or digital twin platforms is preferred.
  • Familiarity with graph-based retrieval, RAG pipelines, or multimodal ML is preferred.
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