AI Engineer Internship for Health Insurance Fraud Detection

Description:
As an AI Engineer Intern, you will contribute to developing innovative machine learning models aimed at identifying fraud in health insurance claims. You will work with real-world datasets to design and train supervised and unsupervised learning models that detect anomalies and flag fraudulent claims.

Key Responsibilities:

• Design and train AI models for health insurance fraud detection.
• Implement anomaly detection algorithms.
• Validate models with existing datasets to ensure robustness and accuracy.

Skills & Qualifications

•  Proficiency in Python and libraries like TensorFlow or PyTorch.
• Experience with CNNs and computer vision.
• Familiarity with supervised and unsupervised learning methodologies.