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pytorch llms opencv ocr๐ Description
- Design and optimize KYC/KYB algorithms (OCR, face recognition, document tampering detection)
- Apply deep learning to image processing and analysis
- Leverage LLMs for multimodal document understanding
- Experiment, analyze data, and iterate on models for production robustness
- Assist R&D of features to strengthen compliance and security
- Participate in code reviews and team meetings
๐ฏ Requirements
- Currently enrolled in a PhD program (or equivalent) in CS/EE/IS or related field
- Strong background in ML, DL, and AI frameworks (e.g., PyTorch, TensorFlow)
- Experience or coursework in computer vision (image processing, object detection, or facial recognition)
- Familiarity with LLMs for multimodal tasks
- Proficiency in Python with OpenCV, NumPy, Pandas
- Strong problem-solving, detail-oriented, able to work independently or in a team
๐ Benefits
- Remote work arrangement (may vary by team)
- Competitive salary and company benefits
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