Data Scientist II - Computer Vision

Tech Stack

Responsibilities

• Develop, maintain, and improve machine learning models for document verification use cases (classification, image quality, field extraction, fraud detection).
• Independently implement and evaluate deep learning architectures, including CNNs and transformer-based models.
• Own well-defined components of end-to-end ML pipelines, from data preparation to production deployment.
• Perform in-depth error analysis, model diagnostics, and performance optimization.
• Contribute to technical design discussions, code reviews, and modeling best practices while writing production-quality code.

Benefits

• Health Insurance

Culture

Requirements