Data Science Data Science Senior Data Scientist

3 days ago

Bangalore, India VIDA Digital Identity Full time

Senior Computer Vision & Deep Learning Scientist — Liveness & Deepfake Detection Our mission is to create innovative, robust, and user-friendly digital identity solutions. We are looking for a passionate and skilled Computer Vision & Deep Learning AI Scientist specializing in Liveness and Deepfake detection to join our dynamic team. Design, train, and deploy CV/DL models for presentation attack detection (PAD) and deepfake detection (print/replay, 2D/3D masks, screen replays, injection, face-swap/GAN/diffusion). Own datasets end-to-end: collection strategy, labeling specs, quality gates, hard-negative mining , bias/fairness audits. Ship models with clear latency/SLA targets; Translate fraud patterns into model features and detection rules ; collaborate with product, fraud ops, and key customers. Advanced degree in a quantitative field or equivalent experience, and 3+ years building/launching computer vision & deep learning models (biometrics, PAD, or deepfake detection preferred). Proficient in Python and PyTorch (or TensorFlow); proven track record taking models from notebook → production with experiment tracking, CI/CD, and post-deploy monitoring. Clear communication, ownership mindset, and bias to ship. On-device/low-latency inference (TensorRT, ONNX Runtime, TFLite, Core ML, NNAPI), CUDA kernels, or inference compilers. Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment. Familiarity with ISO/IEC 30107 (PAD), ISO/IEC 19795 (biometric performance), ISO/IEC 39794 (biometric data interchange). Synthetic data/simulation to cover rare attacks. About VIDA Digital Identity VIDA is a government-licensed certificate authority (CA) operating under Indonesia’s Ministry of Electronics and Information Technology. Legally valid digital signatures ensuring secure and scalable identity solutions. Advanced AI-driven fraud prevention: VIDA leverages sophisticated AI models to detect and prevent deepfake frauds, enhancing security and trust in digital interactions. Seamless integration to help businesses reduce onboarding friction while prioritizing user privacy and data security. For more information, you may visit our website at

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