3 Dbscan Jobs

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. Job Profile 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. What We Offer 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

8-12 years experience in a statistical and/or data science role. Proven experience as a Data Scientist or similar role. Strong organizational and leadership skills. Degree in Computer Science, Data Science, Mathematics, or similar field. Deep knowledge of machine learning, statistics, optimization or related field. Experience in Linear and non-Linear Regression models including Multiple and Multivariate. Experience in Classification models including Ensemble techniques. Experience in Unsupervised models including K-Means, DBSCAN, LOF. Rich Experience in NLP techniques. Experience in Deep Learning techniques like CNN, RNN, etc. Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory. Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.). Excellent written and verbal communication skills along with strong desire to work in cross functional teams. Attitude to thrive in a fun, fast-paced start-up like environment. Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc. Optional: programming in C, C++, Java, .Net.

Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services Responsibilities Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Align data projects with organizational goal Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Qualification & Other Attributes: 8-15 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge and experience in Large Language Models (LLM) Strong knowledge on Generative AI Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc (Any 3 or 4) Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Good knowledge in Explainable AI Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net