Fraud Detection ML Engineer

Key responsibilities: Build and maintain systems for AI-generated image and video detection, as well as reverse image search capabilities Develop algorithms for duplicate fingerprinting and copyright risk detection to filter out non-authentic data Implement human-in-the-loop verification pipelines and fraud network clustering systems for enhanced data qualityRequired qualifications 3+ years of experience in computer vision and machine learning using frameworks such as PyTorch or TensorFlow Proven experience in production ML deployment and backend system development Strong proficiency in SQL and PostgreSQL, with experience in vector search technologies Familiarity with image processing libraries like OpenCV and PIL Comfortable working with TypeScript/Deno or similar backend technologies