Internship: Generative AI & Deepfake Detection unpaid

We are a cutting-edge company using AI to verify documents, detect fraud, and ensure authenticity in invoices and images. We are looking for a passionate intern with practical experience in deepfake detection and generative AI to contribute to real-world AI projects focused on document verification and fraud prevention. Why Join Us Work on real-world AI systems that combat fraud and document manipulation. 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. Flexible and collaborative work environment. Tasks 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. What We’re Looking For 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. 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. Preferred Qualifications 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. #J-18808-Ljbffr HOPn