Machine Learning Engineer - IV (Fraud)

Role Overview

Jumio is seeking a Machine Learning Engineer IV to join their Fraud team. The role involves developing and maintaining advanced machine learning models for fraud detection in ID verification solutions. The candidate will work on cutting-edge technologies to ensure the security and reliability of Jumio's identity verification systems.

Responsibilities

• Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering.
• Design and implement machine learning, deep learning, classical CV focused on fraud detection.
• Research to support the deployment of the advanced algorithms.
• Deploy models as AWS SageMaker endpoints or directly onto devices.
• Stay updated with the latest advancements in machine learning, deep learning, and computer vision by engaging with academic papers and attending industry conferences.
• Work collaboratively with other engineers and product managers in an Agile development environment.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• A minimum of 6+ years of commercial experience in the field of machine learning/deep learning, not including time spent studying (2 years with Master’s).
• Must have: experience with training of DL models for deepfakes, synthetic data, or gen AI data detection.
• Deep understanding of how to convert ML metrics to product goals.
• Hands-on experience with PyTorch or TensorFlow, SKLearn, and in developing production-grade Python code.
• Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
• Strong communication and problem-solving skills.

How to Apply https://weworkremotely.com/remote-jobs/jumio-machine-learning-engineer-iv-fraud