Machine Learning Engineer IV

Responsibilities

• Develop, maintain, and own key fraudulent CV models to shape the fraud product offering
• Design and implement machine learning, deep learning, and classical CV focused on fraud detection
• Research to support the deployment of advanced algorithms
• Deploy models as AWS SageMaker endpoints or directly onto devices
• Stay updated with the latest advancements in ML, deep learning, and computer vision
• Work collaboratively with engineers and product managers in an Agile environment

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
• Minimum 6+ years of commercial experience in machine learning/deep learning (2 years with Master's)
• Experience 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, TensorFlow, SKLearn, and production-grade Python
• Experience implementing best practices for monitoring and maintaining ML models in production
• Strong communication and problem-solving skills

Preferred Qualifications

• Experience working with LLMs or VLMs
• Experience with image or video generation
• Experience with cloud environments such as AWS or GCP
• Experience working in global organizations across several timezones

About the Company

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering, and other financial crimes. As a leading provider of online identity verification, eKYC, and AML solutions, Jumio leverages AI, biometrics, and machine learning to create trusted solutions for brands worldwide.