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computer vision tensorflow pytorch ai fraud detectionπ Description
- Lead design and delivery of in-house Fake ID and document security platform.
- Develop CV models for fake ID detection, tampering, and forgery.
- Enable cross-user and template-level fraud pattern analysis.
- Integrate document intelligence with biometric signals for risk decisions.
- Mentor engineers to ensure production-grade, scalable AI systems.
π― Requirements
- BS/MS in CS, EE, or related field; strong CV, DL, and multimodal AI.
- 8+ years building AI/ML systems in CV, multimodal learning, or generative modeling.
- Proficient in PyTorch, TensorFlow, and OpenCV.
- Excellent analytical and system-level problem-solving skills.
π Benefits
- Competitive total compensation package.
- L&D programs and education subsidies.
- Various team building programs and company events.
- Wellness and meal allowances.
- Comprehensive healthcare schemes for employees and dependants.
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