Machine Learning Engineer - IV (Fraud)

• Develop, maintain, and own key fraudulent CV models of Jumio, which shapes the whole fraud product offering of Jumio. 
• 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.

Experience and Qualifications 

• 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.

Great to have Experience and Qualifications 

• Experience in working with LLM’s or VLM’s.
• Work with image or video generation.
• Experience with cloud environments - AWS / GCP.
• Experience in working in global organizations across several timezones