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Edge Ai Machine Learning Jobs in Minnesota (NOW HIRING)

Jobtailor

Machine Learning Engineer

Virginia, MN · On-site

$150 - $190/hr

Define the direction of mission‑critical solutions by implementing AI * Collaborate with data ... data science, or machine learning engineering * Experience with Python coding and libraries ...

Horizontal Talent

AI Engineer

Minneapolis, MN · Remote

Design, develop, and deploy AI, machine learning, generative AI, and agentic AI solutions that solve domain-specific business challenges * Build and support workflows that extract complex ...

New

Varsity Tutors

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Machine Learning Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Minnesota? The most popular types of Edge Ai Machine Learning jobs in Minnesota are:
What are popular job titles related to Edge Ai Machine Learning jobs in Minnesota? For Edge Ai Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Minnesota look for? The top searched job categories for Edge Ai Machine Learning jobs in Minnesota are:
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Machine Learning Engineer

Jobtailor

Virginia, MN • On-site

$150 - $190/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Train, test, deploy, and maintain models that learn from data
  • Define the direction of mission‑critical solutions by implementing AI
  • Collaborate with data engineers, data scientists, solutions architects, and product owners
  • Guide clients in navigating ML algorithms, tools, and frameworks
Requirements
  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering
  • Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
  • Experience developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Ability to solve client issues and problems
  • TS/SCI clearance
  • Bachelor's degree
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