Job Description

This role involves conducting a focused technical assessment of a computer vision system designed to identify and grade physical objects from images. You will benchmark the baseline model performance on a representative image sample, measure accuracy against a held-out set, assess data quality, and determine the realistic performance ceiling. Your findings will be translated into a decision-grade report tailored for a non-technical executive audience.

Key Responsibilities
  • Conduct a feasibility assessment of a computer vision system.
  • Benchmark model performance and measure accuracy against a held-out dataset.
  • Evaluate data quality and establish the performance ceiling.
  • Prepare a comprehensive report for non-technical stakeholders.
Qualifications
  • 5+ years of experience in computer vision and machine learning engineering, with hands-on experience in fine-tuning modern vision foundation models. <...

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