AI Automation Intern – Electrical Construction Operations

Facility Solutions Group, Inc.New York, NY
$18 - $22Onsite

About The Position

Facility Solutions Group (FSG) is one of the nation’s largest electrical contractors. From the bright lights of Times Square to massive commercial developments across the five boroughs, we handle the design, installation, and service of the systems that power New York. We believe the future of the trades is driven by technology, and we are looking for a motivated intern to help us integrate AI into our core electrical operations. This isn't a theoretical research role. At FSG, your mission is to build AI-driven tools that solve the "boots-on-the-ground" challenges of electrical contracting. You will work at the intersection of data science and the electrical trade, helping us move from manual processes to intelligent, automated workflows.

Requirements

  • Current Student: Junior or Senior pursuing a degree in CS, Data Science, or Electrical Engineering with a heavy focus on AI.
  • Ability to write clean, production-ready Python code.
  • Familiarity with OpenCV (for blueprint analysis), Pandas (for labor data), and frameworks like TensorFlow or PyTorch.
  • Must be comfortable visiting active construction sites to collect training data.

Nice To Haves

  • A basic understanding of electrical systems (circuits, panels, voltage) is a major plus.

Responsibilities

  • Develop and refine Computer Vision models to "read" electrical symbols on PDF blueprints, automatically counting outlets, fixtures, and conduit runs to generate instant material bids.
  • Use historical project data to build regression models that predict "man-hour" overruns based on building type, weather patterns, and NYC-specific logistical delays.
  • Implement real-time object detection for job-site cameras to ensure crews are following OSHA electrical safety protocols and wearing proper Arc Flash protection.
  • Build a recommendation engine to optimize the timing of copper and bulk material purchases based on market price fluctuations and project timelines.
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