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Unique Identification Authority of India (UIDAI) · Bengaluru, Karnataka, India

Senior Data Scientist

Hybridseniorfull timePosted yesterday
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Senior Data Scientist

Key Responsibilities

- Design and develop state-of-the-art deep learning models for biometric recognition (facial, fingerprint, iris) and fraud detection using convolutional neural networks (CNNs), transformers, and hybrid architectures

- Lead the design of end-to-end AI pipelines: data ingestion, pre-processing, model training, evaluation, and deployment in production environments

- Conduct thorough error analysis, A/B testing, and performance evaluations to identify weaknesses and improve recognition accuracy and system efficiency

- Architect scalable data pipelines for image and biometric signal cleaning, feature extraction, clustering, and deduplication at national scale

- Collaborate with domain experts, biometric vendors, and legal/policy teams to ensure technological solutions are interpretable, robust, and policy compliant

- Monitor system drift, adversarial threats, and fraud patterns in biometric usage across the Aadhaar ecosystem

- Publish internal technical reports and participate in peer-reviewed research where appropriate

- Mentor and guide junior data scientists and ML engineers in best practices

Education

- B.Tech / B.E. from a Tier-1 Institution (IITs, IISc, IIITs, BITS, NITs, or similar institutions), preferably in Computer Science, IT, Electronics Engineering, Electrical Engineering, Mathematics, or a related field

Experience & Skills

- Minimum 2+ years of hands-on experience in machine learning, deep learning, or computer vision roles

- Strong expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras

- In-depth knowledge of CNNs, Transformers, Siamese networks, contrastive learning, and embedding space analysis

- Proficient in Python and experienced with large-scale data processing tools like Spark, Dask, or Hadoop

- Prior experience working with biometric or image datasets (face, iris, fingerprint) is desirable

- Strong understanding of data cleaning, clustering (e.g., DBSCAN, K-Means), anomaly detection, and unsupervised learning

- Knowledge of privacy-preserving techniques such as federated learning, differential privacy, and homomorphic encryption is a plus

What We Offer

- A unique opportunity to work on the largest biometric identity system in the world

- Access to UIDAI’s unparalleled scale of identity data and secure research environments

- Competitive compensation and benefits tailored for top-tier AI talent in the public sector

- A mission-driven organization with direct impact on national-scale governance, security, and inclusion

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