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Edge Ai Machine Learning Jobs in Utah (NOW HIRING)

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

TSMG

AI/ML Data Contributor

Salt Lake City, UT · On-site

Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning job?

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, and why are they important?

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.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Utah? The most popular types of Edge Ai Machine Learning jobs in Utah are:
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Edge Ai Machine Learning jobs near you
Chair, Faculty (AI & Machine Learning)

Chair, Faculty (AI & Machine Learning)

Neumont College of Computer Science

Salt Lake City, UT • On-site

Full-time

Re-posted 8 days ago

Job description

CHAIR, FACULTY is needed to perform the following duties:
  • Cover all material defined in the course description and syllabus; meet course schedule expectations per the academic calendar
  • Demonstrate considerable theoretical and applied understanding of subjects including Machine Learning, AI, Data Engineering, Business Intelligence, Probability and Statistics, Python, R, and SQL
  • Deliver course content using active and project-based learning methodologies; develop effective assessments measuring applied student learning
  • Maintain LMS with updated syllabi, materials, and grades; provide timely feedback on assignments and projects
  • Use mid- and end-of-quarter evaluations to continuously improve course delivery
  • Attend faculty meetings; collaborate with faculty to improve student outcomes; hold minimum 1-2 hours of office hours per weekday.
  • Design and develop courses including Data Science, Applied AI Tools in Business, Data Analytics and Visualization, Applied Python for Data Analysis, Data Engineering, and Cloud-Based AI Solutions
  • Evaluate and adjust degree curriculum through annual program audits and biannual PAC feedback; serve on the curriculum committee
  • Oversee course supervision; guide course development using project-based and active learning methodologies
  • Assist Corporate Relations in evaluating Enterprise Projects; evaluate student Capstone project proposals for technical rigor
  • Manage department budget; monitor overall student performance across the program
  • Build mentor relationships with students individually and in groups; address student complaints and problems respectfully
  • Identify areas for personal development; collaborate with faculty to continuously improve course offerings and student outcomes
  • Provide critical feedback to instructors on teaching effectiveness; conduct peer observations and faculty mentoring
  • Participate in evaluating and interviewing teaching candidates; contribute to committee membership and academic metrics reporting
  • Demonstrate excellent written and verbal communication, conflict resolution, and ethical conduct

Bachelor's Degree is required in Computer Science or Computer Engineering or Engineering Management.
SCHEDULE:
  • Exempt position
  • 40+ hours a week
  • Occasional evenings and weekends, with advanced notice

REPORTS TO: Vice President, Academics
LOCATION: On-site
PHYSICAL EXPECTATIONS:
  • Spending extended periods of time at the campus reception desk
  • Sitting for extended periods
  • Standing for extended periods
  • Lift and carry up to 30 pounds

Neumont University is an equal opportunity employer and provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Neumont's Annual Security & Fire Safety Report is available online at https://www.neumont.edu/campus-safety under the Student Life section. This report is required by federal law to comply with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and contains policy statements and crime statistics for the school. The policy statements address the school's policies, procedures and programs concerning safety and security. You may also request a paper copy from the Vice President, Student Affairs.

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