Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or a related field.
Education and/or experience must include:
Computer vision knowledge, including knowledge of designing evaluation metrics for classic geometry algorithms, and knowledge of machine learning models for Segmentation and Classification.
Translating mathematical computation for classic computer vision algorithms to Python code.
Developing robust SQL/non-SQL databases along with REST APIs using Python, PostgreSQL and MongoDB.
Developing front-end dashboards with Javascript, React Plotly, Dash, and Python.
Using Python to develop metrics and loss functions for computer vision algorithms and models that accurately capture the end customer goal.
Using statistical analysis to identify failure patterns in large-scale inference results.
Performing manual failures analysis on computer vision algorithms and models to triage issues and identify solutions.