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Remote Embedded Machine Learning Jobs in Wisconsin

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 ...

Qualysoft

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 ...

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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?

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 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 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.
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Remote Embedded Machine Learning jobs near you

Senior Analyst, Global Supply Chain Planning (Mexio Based)

WAI Global

WI • On-site, Remote

$83K - $102K/yr

Full-time

Posted 15 days ago

Job description

We are advancing our global supply chain with AI-enabled analytics and systems to anticipate risk, evaluate tradeoffs, and drive faster, smarter decisions across our growing, global business. We are seeking a Senior Analyst, Global Supply Chain Planning to develop models and decision tools that improve supply chain performance across our global network.
This is an opportunity to work on high-impact initiatives with executive visibility and shape the next generation of our supply chain capabilities in a fast-moving and entrepreneurial business.
This is not a traditional reporting role or a pure data science role; it is a hands-on builder role for someone who can connect supply chain planning, systems, data, analytics, and automated workflows to improve business decisions at scale.
What you'll do
  • Own the design and improvement of analytical tools, planning workflows, dashboards, and system-enabled processes that support demand, supply, inventory, and operations decisions
  • Build predictive, prescriptive, and optimization models for forecasting, inventory risk, supply constraints, service performance, and exception detection using AI, automation, and self-service solutions to drive decision quality and speed
  • Perform exploratory analysis, root-cause analysis, data validation, feature development, and performance measurement to support business solutions
  • Develop scenario and simulation models to quantify tradeoffs across service, cost, inventory, and risk
  • Translate supply chain and business problems into scalable analytical solutions embedded in processes and systems
  • Partner with IT, planning, operations, and finance teams to improve data flows, reporting structures, planning system outputs, and analytical tools used throughout our planning processes
  • Clearly communicate findings to technical and non-technical stakeholders through visualizations, recommendations, and business insights
  • Improve data quality, metric consistency, and analytical rigor across the planning organization

Requirements
Qualifications
  • Bachelor's or Master's degree in engineering, operations research, data science, supply chain, analytics, or a related quantitative field
  • 4+ years of experience in data analytics, systems, operations research, industrial engineering, or a related quantitative role
  • Experience with SQL, BI/visualization tools such as Power BI or Tableau, and advanced Excel; Python, R, or similar analytical programming experience preferred
  • Strong problem-solving skills and the ability to turn ambiguous business questions into practical solutions
  • Experience working with large, complex datasets and building clear analytical recommendations and outputs
  • Skill and interest in AI-enabled workflows and production deployments
  • Strong communication skills, including the ability to explain technical concepts and model outputs to business and executive stakeholders
  • Working in a fast-paced, evolving environment with a high degree of ownership and a builder mindset

Preferred qualifications
  • Experience in supply chain, operations, logistics, retail, CPG, and automotive
  • Experience with statistical analysis, optimization, anomaly detection, predictive modeling, scenario modeling, or machine learning
  • Experience supporting global or multi-region business operations

Culture & values
  • Bias for Action: We favor delivering usable insights quickly over endless analysis.
  • Show You Care: We operate with empathy, integrity, and a collaborative spirit.
  • Action vs. Activity: Results - not busyness - drive recognition and advancement.

Why join us
  • Executive Visibility: Work directly with executive leaders on strategic, high-impact initiatives.
  • Global Impact: Help shape a supply chain that powers distribution across 100+ countries.
  • Stable + Growth: Join a company with a 50-year heritage and the momentum of a business expanding at startup speed through acquisitions

Apply