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Lead Computer Vision Engineer Job Opening In Bengaluru – Now Hiring VIDA Digital Identity


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

Required Skill Profession

Computer Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at VIDA Digital Identity adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Computer Vision Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Computer Vision Engineer Job Success

VIDA Digital Identity interview tips for Lead Computer Vision Engineer

Here are some tips to help you prepare for and ace your Lead Computer Vision Engineer job interview:

Before the Interview:

Research: Learn about the VIDA Digital Identity's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Lead Computer Vision Engineer interview at VIDA Digital Identity, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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