Job Description
Full details about the role and requirements
Yukerja Summary
The Internship: Generative AI & Deepfake Detection unpaid role at HOPn is curated from Himalayas (category Teknologi & IT). This role is marked as remote — check timezone and location requirements on the official listing. Yukerja.com is not the employer — applications are handled on the official source site.
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.
Originally posted on Himalayas