AI Engineer for Ad Fraud Detection & Prevention
About Our Engineers
This AI engineer specializes in machine learning-driven ad fraud detection, helping businesses combat fraudulent clicks, impressions, and bot traffic. With expertise in anomaly detection, predictive analytics, and real-time fraud prevention, they design highly scalable fraud detection models that save advertisers millions.
Key Expertise & Skills
Ad fraud detection
anomaly detection
real-time bidding (RTB) security
machine learning for fraud prevention
click fraud detection
AI-driven threat analysis
predictive modeling
deep learning
Technologies & Tools
Python
TensorFlow
Scikit-learn
OpenCV
AWS Fraud Detector
Google Ads API
BigQuery
Snowflake
Kafka
Spark
Elasticsearch
Projects Our Engineers Have Worked On
- Click Fraud Prevention System – Reduced fraudulent ad clicks by 85% using AI-powered anomaly detection.
Bot Traffic Detection Model – Implemented deep learning to flag bot-driven traffic with 97% accuracy.
Real-Time Ad Security Platform – Built an AI-powered monitoring system for instant fraud detection in RTB environments.
Anomaly-Based Billing Protection – Prevented revenue loss by developing fraud alerts for ad billing discrepancies.
Predictive Ad Fraud Analytics – Created a model that predicts fraud patterns before they impact campaigns.
Who Should Hire This Engineer?
Ad networks
digital marketing agencies
programmatic ad platforms
brands running large-scale ad campaigns
and cybersecurity firms specializing in ad tech security.