1

Temporary Embedded Machine Learning Jobs in Illinois

The role offers a clear growth path: you start in a packer position while learning machine ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Senior Data Engineer

Chicago, IL ยท On-site

$140K - $170K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

Vision Software

IL ยท On-site

Understanding of multiples OS's, including Windows, Linux, Windows Embedded, or NI-OS ? Familiarity with machine learning algorithms for vision problems ? Strong personal self-discipline as well as ...

Machine Operator

Chicago, IL

$21.07 - $23.07/hr

The organization supports long-term career growth, continuous learning, and financial well-being ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated ...

Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated ...

Showing results 41-60

Temporary Embedded Machine Learning information

What is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed in consumer electronics, automotive, industrial automation

Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.

What are the most commonly searched types of Embedded Machine Learning jobs in Illinois? The most popular types of Embedded Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Temporary Embedded Machine Learning jobs? Cities in Illinois with the most Temporary Embedded Machine Learning job openings:

Computer Vision Scientist

Redfish Recruiting

Northbrook, IL โ€ข On-site, Remote

Full-time

Posted 20 days ago


Job description

Computer Vision Scientist
Chicago, IL
Our Client is seeking a talented computer vision expert who is passionate about using their skills to help reshape the gaming industry of tomorrow. The ideal candidate should have deep hands-on knowledge of traditional computer vision and deep learning to design and build AI platforms and products.
Responsibilities
-Work collaboratively with product and engineering teams to turn Computer Vision concepts into valuable products
-Research & develop state of the art vision algorithms
-Design, architecture, & develop our Client's AI platform & devices
Qualifications
-M.S. or Ph.D. in computer science, or related disciplines.
-Strong analytical, problem-solving, and critical thinking skills
-Highly self-motivated and passionate with assigned projects, and a self-starter and taking a full ownership with responsibilities
-3+ years algorithm research / development experience in the areas of computer vision, machine learning, and related fields with proven track records, such as strong publications, published demos or software applications
-Expertise with traditional CV approaches (e.g., OpenCV), Classification, detection, and segmentation approaches
-Ability to implement related academic literature in computer vision and deep learning
-Strong knowledge of deep learning frameworks like Tensorflow, Pytorch, Caffe, Yolo etc.
-Experience building, testing, and deploying computer vision based solutions
-Expertise with Python and/or C/C++, Linux, Cloud, Git
-Excellent verbal and written communication skills
-Excel under high pressure with time critical projects
-Experience with deploying custom software to embedded CPUs, GPUs, or FPGAs is a plus
Perks
-Flexible working hours
-H-1B Sponsorship