OpenOpportunity Sourced Jobs — Hyderabad
Full Time · On Site · Entry Level
Role: Data Science & Machine Learning - Other | Department: Data Science & Analytics | Industry: Financial Services | Education: UG: B.Tech / B.E. in Any Specialization PG: M.Tech in Any Specialization, MS/M.Sc(Science) in Any Specialization, MCA in Computers, LLM in Law Role Overview You will be part of NPCI Market Innovation team, working at the intersection of advanced machine learning, deep learning, graph AI, and Generative AI to build next-generation intelligent systems for India digital payments ecosystem. This role focuses on solving India-scale problems such as fraud detection, mule/AML risk modeling, transaction intelligence, and conversational AI, using both classical ML and cutting-edge AI architectures (LLMs, GNNs, Transformers, Agentic AI systems). Job Details Job Title: Data Scientist & AI Engineer Division: NPCI Data Analytics & Market Innovation Education: B.Tech / M.Tech / MSc / MCA (PhD preferred) in CS, AI, DS, Mathematics or related field Employment Type: Full-time Location: Hyderabad Role Type: Permanent Key Responsibilities / Requirements [Same core content as Jobs 1 and 2: Machine Learning & Advanced Modeling, Graph AI, Generative AI & Agentic Systems, Feature Engineering, Model Optimization & GPU Acceleration, Evaluation, Deployment, Collaboration & Research, plus Core ML, Generative AI & LLM Stack, Graph AI, Programming & Tools, Key Skills and Experience Required] Good-to-Have Skills & Experience Experience in: Payments / fintech / banking domain. Fraud detection, AML, mule detection systems. Exposure to: Graph analytics on transactional data. Federated learning & privacy-preserving AI. Real-time streaming systems. Experience with: Cloud platforms (AWS/GCP/Azure). ML pipelines & MLOps frameworks. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. Note: The third of three near-identical NPCI "Data Scientist & AI Engineer" postings, filed under Hyderabad on the same day as Job 2 with a sequential Job ID -- essentially the same vacancy posted twice for the same city, with this copy adding an extra "Good-to-Have Skills & Experience" section (cloud platforms, MLOps, payments/fintech domain) that neither Job 1 nor Job 2 displays, which is why its Key Skills list includes "cloud platforms," "aws," and "azure" that the other two copies lack. Together, Jobs 1-3 show the same underlying posting fanned out across Mumbai and Hyderabad with inconsistent embedded location metadata and section content.
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