Machine Learning Engineer - IV (Fraud)
Core
Develop and maintain state-of-the-art machine learning and deep learning solutions for fraud detection in ID verification, specifically focusing on deepfakes, synthetic data, and generative AI data detection.
Role type
Senior IC machine learning engineer (fraud detection, computer vision)
Builds
Production-grade fraud detection models and algorithms for Jumio's ID verification platform
Domain
Identity verification, eKYC, AML, Financial Services, Fintech
Deliverable
production ML models
Required skills
Deep learning model training, computer vision, PyTorch, TensorFlow, SKLearn, Python, production model monitoring, ML metrics to product goals translation
Preferred skills
LLMs, VLMs, image/video generation, AWS/GCP cloud environments
Technologies
PyTorch, TensorFlow, SKLearn, AWS SageMaker, Python
Responsibilities
Develop and own key fraudulent CV models, design and implement ML/DL/classical CV algorithms for fraud detection, research advanced algorithms, deploy models to AWS SageMaker or devices, stay updated with latest ML/DL/CV advancements
Seniority
Senior, hands-on IC
