Design and optimize KYC/KYB algorithms (OCR, face recognition, tamper detection)
Apply deep learning to improve image processing accuracy and efficiency
Leverage LLMs to boost multimodal document understanding
Run experiments, analyze data, and iterate models for production reliability
Help research and develop features for compliance and security
Participate in code reviews and knowledge-sharing with the team

🎯 Requirements

Currently enrolled in a PhD program (CS/EE/IS or related)
Strong ML/deep learning background; PyTorch/TensorFlow
Background in computer vision: image processing, detection, facial recognition
Familiar with LLMs and multimodal tasks
Proficient in Python; OpenCV, NumPy, Pandas
Excellent problem-solving, detail-oriented, team player
Bonus: interest in blockchain/fintech/AI ethics

🎁 Benefits

Competitive salary and benefits
Remote work arrangement
Learning and development opportunities
Equal opportunity employer

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