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Team Overview
The Data Science Innovation team is the R&D; engine of the Data Science organisation — a team dedicated to exploring, prototyping, and engineering the next generation of AI-powered intelligent systems. We are a team that invents, experiments, and builds things that do not yet exist within the organisation. Our work spans a wide spectrum of problem domains — from intelligent search and autonomous planning systems to knowledge engineering, decision support, and agentic automation — reflecting the deliberate breadth of challenges we take on.
The team operates at the intersection of classical AI research, applied engineering, machine learning, and enterprise platform delivery.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview And Core Responsibilities
· Design and build AI-powered intelligent systems: applying classical AI concepts — search, planning, ranking, retrieval, reasoning,



constraint satisfaction, and knowledge representation — to solve real enterprise business problems.
· Develop scalable backend services, APIs, data pipelines, and orchestration layers: for AI-driven applications that are production-ready from day one.
· Build and maintain search, ranking, recommendation, and knowledge management systems: that support intelligent automation and enterprise knowledge use cases.
· Integrate AI capabilities with enterprise applications: including APIs, databases, document repositories, and workflow platforms, ensuring reliability, security, and observability.
· Apply understanding of context management, memory systems, and human-in-the-loop patterns: to design AI systems that behave correctly and safely in production environments.
· Collaborate with business and technology stakeholders: to understand ambiguous problem areas and translate them into well-scoped, meas

📌 Consultant - AI Engineer (Bengaluru)
🏢 TransUnion
📍 Bengaluru