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

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

Flexible and collaborative work environment
Gain hands-on experience with Generative AI, computer vision, and cybersecurity applications
Receive mentorship from experienced AI and security professionals
Opportunity to contribute to innovative products with real business impact

Internship – Generative AI, Deepfake Detection

Key skills