Senior Data Scientist, Technology Centre, Bengaluru

Job Description

Location: Bengaluru

• 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 any other related field.
• 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 largescale 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 & homomorphic encryption is a plus.
• 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 the 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.
• •Unique opportunity to work on the largest biometric identity system in the world.
• •Access to UIDAIs 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.