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Senior Data Scientist

Senior Data Scientist

VIDA Digital IdentityDelhi, India
8 days ago
Job description

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. Your work will directly impact the security and reliability of VIDA's identity verification systems.

Responsibilities :

  • 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.
  • Build realistic benchmarks and red-team suites; report metrics (FAR / FRR), ROC / PR, calibration; run ablations and adversarial stress tests.
  • Ship models with clear latency / SLA targets; partner with engineers on scalable inference APIs and monitoring (drift, false-positive hot spots).
  • Translate fraud patterns into model features and detection rules; collaborate with product, fraud ops, and key customers.
  • Track state-of-the-art CV / DL and adopt techniques that improve security, latency, or cost; align with ISO / IEC 30107 (PAD) best practices.
  • Work independently or in a team to solve complex problem statements

Requirements :

  • 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).
  • Strong CV / DL fundamentals : modern backbones / transformers, temporal models, contrastive / metric learning, robustness techniques.
  • Proficient in Python and PyTorch (or TensorFlow); OpenCV / FFmpeg; 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.

    • Nice to have :

  • Deepfake forensics (GAN / diffusion artifacts, watermark / signature checks).
  • 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. Our key offerings include :
  • Legally valid digital signatures ensuring secure and scalable identity solutions.
  • Trusted identity verification services for industries such as BFSI, eCommerce, telecommunications, and healthcare.
  • 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 https : / / vida.id
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