Senior Data Scientist

11 hours ago

Bengaluru, Karnataka, India VIDA Digital Identity Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 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

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