Machine Learning Engineer

A company is looking for a Machine Learning Engineer, Fraud.

Key Responsibilities

Design, train, and deploy ML and LLM models to detect fraudulent behaviors

Lead the architecture of fraud detection and prevention systems

Develop scalable data pipelines and conduct behavioral data analysis to improve detection accuracy

Required Qualifications

Bachelor's degree in Computer Science or related field, or equivalent work experience

2-6 years of experience in machine learning or software engineering, preferably in risk or fraud domains

Strong proficiency in Python and ML libraries

Solid backend development skills with experience in deploying ML models

Familiarity with fraud detection techniques and data analysis tools