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Remote Embedded Machine Learning Jobs in Wisconsin

CFS

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 ...

CFS

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 ...

CFS

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 ...

CFS

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 ...

CFS

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 ...

CFS

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 ...

CFS

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 ...

CFS

AI Engineer

Middleton, 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 ...

CFS

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 ...

CFS

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 ...

CFS

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 ...

UVeye

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 ...

Zywave

AI Operations Analyst

WI · On-site +1

Create dashboards, alerts, and embedded insights that make complex models intuitive and actionable ... Experience in data science, machine learning, revenue operations, or AI-driven analytics. * Strong ...

Pegasus Knowledge Solutions, Inc

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 ...

Pegasus Knowledge Solutions, Inc

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 ...

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Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

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

AI Engineer

CFS

Waunakee, WI • Remote

$200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 hours ago

Job description

AI Engineer | Permanent | No Sponsorship Available | Remote

ABOUT OUR CLIENT

  • The company is financially sound, yet their success is not just defined by their profits; it's about living their core values.
  • Ton of opportunity for growth and providing a better place to live and work!
  • The company boasts a team-oriented culture and provides its employees with the tools and training necessary to perform.
  • Huge Employee Perks!

BENEFITS & COMPENSATION

  • Compensation: Up to $200,000 per year + 8% annual bonus target
  • PTO: Unlimited
  • Retirement: 401K w/ a match
  • Medical: Health, vision, and dental plans available for individuals and families

RESPONSIBILITIES FOR THE AI ENGINEER

  • Partner with stakeholders to identify high-impact opportunities where AI can drive efficiency, growth, and competitive advantage
  • Design and deploy sophisticated LLM-based agent systems, reasoning workflows, and tool-integrated pipelines (RAG, chain-of-thought, planning-execution patterns)
  • Architect and maintain production-grade APIs supporting real-time and asynchronous agent operations, including Model Context Protocol (MCP) integration
  • Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior
  • Build comprehensive testing frameworks, observability tooling, and diagnostic systems for agent execution and performance monitoring
  • Manage the complete AI model lifecycle—integration, deployment, fine-tuning, and production monitoring with logging and recovery mechanisms
  • Establish AI governance standards addressing compliance, security, responsible AI, and ethical considerations
  • Champion AI adoption across the organization; define success metrics, track progress, and drive organizational alignment
  • Collaborate with frontend teams to build intuitive user interfaces and seamless AI system integration using React and TypeScript

QUALIFICATIONS FOR THE AI ENGINEER

  • 10+ years of software development and systems architecture experience
  • 3+ years of hands-on experience designing and implementing AI-driven solutions with production AI tools
  • 3+ years of specialized expertise with Large Language Models, Generative AI, NLP, and machine learning fundamentals
  • Practical experience with deep learning frameworks, RAG architectures, vector databases, and agent-based frameworks
  • Working knowledge of cloud-native AI services and deployment patterns

Timing is everything. Whether you are aggressively in a job search or simply passive and looking for the ideal position, we would like to have the chance to share our opportunities with you. We specialize in placement of IT professionals. Please contact me for more information about this role as well as other opportunities.

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