Tech Stack

Description

You will develop and maintain fraudulent computer vision models for ID verification, deploy them via AWS SageMaker or on-device, and stay current with ML/DL advancements. Your work directly impacts security and user verification for global clients.

Requirements

• Bachelor's/Master's in CS, Data Science, ML or related
• 6+ years commercial ML/DL experience (2 with Master's)
• Experience training DL models for deepfakes/synthetic/gen AI detection
• Proficiency in PyTorch or TensorFlow, SKLearn, production Python
• Experience monitoring and maintaining ML models in production

Responsibilities

• Develop, maintain, and own key fraudulent CV models
• Design and implement ML/DL/CV for fraud detection
• Research and deploy advanced algorithms
• Deploy models as AWS SageMaker endpoints or on-device
• Collaborate with engineers and product managers in Agile