Internship: Generative AI & Deepfake Detection
WFA Digital Insight
As demand for AI and cybersecurity specialists grows, with a 25% increase in deepfake detection roles in 2025, opportunities like this internship at HOPn UG stand out for their focus on real-world applications. With the rise of digital fraud, companies are looking for skilled professionals who can contribute to AI-driven document verification and authenticity solutions. This internship offers a unique chance to gain hands-on experience in a cutting-edge field, working with generative AI, computer vision, and cybersecurity. Before applying, candidates should be prepared to showcase their analytical and problem-solving skills, as well as their experience with machine learning frameworks and deepfake detection techniques.
Job Description
About the Role
The internship at HOPn UG is an exciting opportunity for individuals pursuing a degree in Computer Science, Artificial Intelligence, or related fields to contribute to innovative projects focused on document verification and fraud prevention. As a member of the team, you will work closely with experienced AI and security professionals to develop and evaluate AI models that detect deepfakes and synthetic content. This role is integral to the company's mission to combat fraud and ensure authenticity in various documents, including invoices and images.The day-to-day responsibilities will involve analyzing invoices and business documents for manipulation, forgery, or AI-generated alterations, and supporting the integration of AI-powered document verification solutions into production workflows. You will also have the opportunity to research and implement state-of-the-art techniques in deepfake detection, document forensics, and generative AI.
Working in a flexible and collaborative environment, you will be an essential part of the team, helping to build proof-of-concepts and datasets for fraud detection and authenticity verification. This internship is not only about gaining hands-on experience but also about contributing to products with real business impact.
What You Will Do
- 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
- Contribute to the development of innovative products with real business impact
- Collaborate with the team to identify new areas for AI application in document verification
- Participate in discussions on AI ethics and the responsible use of AI in document analysis
- Engage in continuous learning to stay updated with the latest advancements in AI, deepfake detection, and cybersecurity
What We Are 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
- 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
- Strong analytical and problem-solving skills
- Self-motivated, curious, and eager to work on challenging AI problems
Nice to Have
- 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
- Knowledge of cloud platforms and containerization (e.g., Docker)
Benefits and Perks
- Opportunity to work on real-world AI projects with impact
- Flexible and collaborative work environment
- Mentorship from experienced AI and security professionals
- Professional development opportunities
- Access to cutting-edge technologies and tools
- Potential for future employment opportunities
- Collaborative team environment
- Recognition and rewards for outstanding performance
How to Stand Out
- Tip: Ensure your portfolio includes projects that demonstrate your experience with deepfake detection, synthetic media detection, or digital image/document forensics.
- To stand out, highlight any contributions to AI research, open-source projects, or Kaggle competitions related to computer vision or deepfake detection in your application.
- When preparing for the interview, be ready to discuss your understanding of AI ethics and the responsible use of AI in document analysis.
- Emphasize your strong analytical and problem-solving skills, as these are crucial for success in this internship.
- Be prepared to provide examples of your experience with machine learning frameworks and your ability to implement state-of-the-art techniques in deepfake detection and generative AI.
- It's also important to showcase your ability to work in a team and collaborate with others to achieve project goals.
- Consider reaching out to current or former interns to gain insights into the company culture and the internship experience.
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