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AI Video Analytics Developer

Claire Schneider

Contract · Job · New_York

About the role

Retail stores generate thousands of hours of security footage every day, and 99.9% of it is never watched. Our platform turns that footage into actionable data — customer traffic patterns, queue lengths, shelf interaction heatmaps, and theft detection — all processed in real-time at the edge. This is a 12-month contract to help us expand our analytics capabilities. You'll build new detection models for specific retail scenarios: shopping cart abandonment detection, staff availability monitoring, and promotional display engagement tracking. Each scenario requires its own model architecture, training dataset, and evaluation metrics. You'll work independently with weekly check-ins. The infrastructure is in place — you'll focus purely on model development, evaluation, and integration into our existing serving pipeline.

Responsibilities

  • Build computer vision models for retail-specific analytics scenarios
  • Design and curate training datasets for each detection use case
  • Develop evaluation benchmarks tailored to retail analytics accuracy
  • Integrate new models into the existing edge serving pipeline
  • Deliver weekly progress reports with quantitative results

Requirements

  • 3+ years in computer vision with object detection experience
  • Strong PyTorch skills for training and evaluating detection models
  • Experience with video processing and temporal analysis
  • Familiarity with edge deployment constraints and model optimization
  • Comfort working independently on contract deliverables

Benefits

  • 12-month contract with renewal option
  • Fully remote
  • Competitive contract rate
  • Access to large labeled retail video datasets

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Job Type

Contract

Level

Mid-Level

Language

English

Salary Range

$100k – $130k / year

AI Expertise

AI & Machine Learning Engineers

Skills

python pytorch computer vision docker aws fastapi

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