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HOPn UG

Internship: Generative AI & Deepfake Detection

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Fully RemoteEngineeringjuniorPuchheim

Salary

Not listed

Posted

686mo ago

Source

arbeitnow

RemoteIT

About Us

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.

Requirements

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.
  • 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.

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.

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Before you apply

  • Confirm async-friendly culture vs daily standup-heavy expectations
  • Ask about on-call rotation and incident expectations
  • Check the tech stack matches what you actually want to use day-to-day

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