Direct Reports: Staff/Senior DS/ML Engineers and Research Interns
Role Summary
As a Chief Data Scientist, you will lead end-to-end development of AI/ML solutions across biometrics, fraud/risk analytics, and large-scale data platforms. You'll set technical direction for modeling, evaluation, and productionization; steward privacy-by-design and model governance; and partner with engineering to deliver nation-scale, low-latency, high-reliability models.
Key Responsibilities
1) Biometrics & Identity AI
Own research and production models for matching, quality assessment, PAD/liveness and multi-modal fusion.
Drive spoof/deepfake defences and continuous adversarial testing.
Establish interoperability & standards compliance (e.g., ISO 19794 data formats, SDK benchmarks), and guide cancelable templates/fuzzy extractors where appropriate.
Assisting CTO/HOE UIDAI for preparing roadmap for biometrics projects in UIDAI and to supervise in-house Research & Development (R&D;) in Biometrics technology
Leading a team of architects, young professionals, and programmers to achieve UIDAI's overall goal of upscaling the biometric tech stack of UIDAI.
Contribute in architecting and evaluation of the performance of the indigenously developed Deep learning based ABIS (Automatic biometric Identification system) project of UIDAI.
To be actively involved in the activities of the Biometrics Research Centre/COE (to be set up).
Responsible for suggesting recent ideas and technology for improving the present system and assist in the design of current biometric-related projects of UIDAI.
📌 Chief Data Scientist Bengaluru (India)
🏢 Unique Identification Authority of India (UIDAI)
📍 India
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