Internship: Generative AI & Deepfake Detection

About This RoleAI processing…

Key Responsibilities

• 1
  Develop and evaluate AI models to detect deepfakes and synthetic content in images, PDFs, and scanned documents.
• 2
  Analyze invoices and business documents for manipulation, forgery, or AI-generated alterations.
• 3
  Support the integration of AI-powered document verification solutions into production workflows.
• 4
  Research and implement state-of-the-art techniques in deepfake detection, document forensics, and generative AI.
• 5
  Assist in building proof-of-concepts and datasets for fraud detection and authenticity verification.

Requirements

• Currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Strong proficiency in Python.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Mandatory: Hands-on experience in deepfake detection, synthetic media detection, or digital image/document forensics through academic projects, research, internships, competitions, or personal projects.
• Experience with image processing, computer vision, or OCR tools (e.g., OpenCV, Tesseract).
• Familiarity with Generative AI models and techniques.
• Understanding of document analysis, fraud detection, or cybersecurity concepts is a plus.
• Strong analytical and problem-solving skills.
• Self-motivated, curious, and eager to work on challenging AI problems.
• Experience with transformer-based vision models, multimodal AI, or document understanding models.
• Experience working with invoice extraction, document classification, or fraud detection systems.
• Contributions to AI research, open-source projects, or Kaggle competitions related to computer vision or deepfake detection.

Perks & Benefits