FreshRemote.Work

Temporary Machine Learning Engineer-Dr. Ranganathan

Grand Forks

Salary/Position Classification

  • $20-$25 hourly, Non-Exempt (Eligible for overtime)
  • 20-30 hours per week
  • 100% Remote Work Availability: No
  • Hybrid Work Availability (requires some time on campus): No

Purpose of Position

We are seeking a skilled Machine Learning Engineer with expertise in energy systems and data modeling to join our team on a temporary basis. This role involves developing forecasting models, simulating and analyzing energy data, and applying AI tools to substation-related datasets. If you are an MS graduate in Electrical Engineering with a passion for innovation and problem-solving, we encourage you to apply!

Duties & Responsibilities

  • Develop and refine forecasting models for energy datasets.
  • Model and analyze data related to energy substation operations.
  • Run advanced AI tools to identify patterns and optimize performance.
  • Simulate and analyze acoustic and radar signatures for energy systems.
  • Collaborate with the team to generate actionable insights and solutions. 

Required Competencies

  • Strong problem-solving and analytical skills.
  • Strong knowledge of machine learning and AI methodologies.

Minimum Requirements

  • Master’s degree in Electrical Engineering (EE) or a related field.
  • Experience with energy systems modeling and dataset analysis.
  • Proficiency in programming languages such as Python or MATLAB.
  • Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position does not support visa sponsorship for continued employment.

Preferred Qualifications

  • Familiarity with acoustic and radar signature simulation tools is a plus.

To Apply

Please submit resume and cover letter outlining how you meet the minimum requirements.

Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

100% remote work availability Does not support visa sponsorship Hybrid work availability No hybrid work No hybrid work availability No Visa Sponsorship Requires some time on campus

Benefits/Perks

100% Remote 100% remote work 100% remote work availability Eligible for overtime Fully remote Hybrid work Hybrid work availability Overtime eligible Remote work Remote work availability Visa sponsorship

Tasks
  • Analyze data
  • Analyze energy data
  • Apply AI tools
  • Collaborate for insights
  • Develop forecasting models
  • Simulate acoustic and radar signatures
Skills

Acoustic simulation AI tools Analysis Analytical Compliance Data Modeling Electrical Engineering Energy systems Engineering Forecasting models Learning Machine Learning Matlab Methodologies Modeling Operations Problem-solving Programming Python Radar simulation Simulation

Education

Electrical Engineering Graduate Master's degree MS Related Field

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9