Senior ML Engineer IV — Remote Fraud Detection

NEPSE Trading; United States; À distance; USD 140 000 - 210 000; Plein temps

Résumé du poste

Jumio, a leading online identity verification company, seeks a Machine Learning Engineer IV to advance fraud detection for ID verification. You will deploy state-of-the-art ML models, including deep learning and computer vision, in production to ensure robust security and seamless user verification across industries.

Ideal candidates have 6+ years in ML/DL, hands-on PyTorch or TensorFlow, and experience deploying models with AWS SageMaker.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field.
• Minimum 6+ years of commercial ML/DL experience (2 years with Master's).
• Experience with training DL models for deepfakes, synthetic data, or Gen AI data detection.
• Deep understanding of converting ML metrics to product goals.
• Hands-on experience with PyTorch or TensorFlow, SKLearn, and production-grade Python code.
• Experience implementing monitoring and maintenance best practices for ML in production.
• Strong communication and problem-solving skills.

Responsabilités

• Develop, maintain, and own fraudulent CV models shaping Jumio's fraud product.
• Design and implement ML, DL, and CV for fraud detection.
• Research to support deployment of advanced algorithms.
• Deploy models as AWS SageMaker endpoints or on devices.
• Stay updated with ML/DL/vision advancements via papers and conferences.
• Collaborate with engineers and product managers in Agile environment.

Connaissances

PyTorch

TensorFlow

Scikit-Learn

Python

Production-grade code

Communication

Formation

Bachelor's or Master's in CS/DS/ML

Outils

AWS SageMaker

AWS

GCP

Description du poste

Jumio, a leading online identity verification company, seeks a Machine Learning Engineer IV to advance fraud detection for ID verification. You will deploy state-of-the-art ML models, including deep learning and computer vision, in production to ensure robust security and seamless user verification across industries.

Ideal candidates have 6+ years in ML/DL, hands-on PyTorch or TensorFlow, and experience deploying models with AWS SageMaker.