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Location
Remote/Hybrid (Pune, India)
Employment
Full-Time
Overview
Company
Impact
Profile match
TransUnion is an American consumer credit reporting agency founded in 1968 that maintains credit files on hundreds of millions of people and sells the scores, decisioning tools and fraud services built on them. Alongside the bureau it operates a marketing data business, an identity and fraud prevention unit assembled through acquisitions including Neustar and iovation, and a growing international business with large operations in India, South Africa, Brazil and the United Kingdom. Headquartered in Chicago and listed on the New York Stock Exchange, it competes directly with Experian and Equifax as one of the three major bureaus in the United States.

TransUnion's Job Applicant Privacy Notice

Team Overview

The US Market Core Credit Batch Team is responsible for enabling and operating the batch processing capabilities for the US Credit business on the OneTru platform. The batch workload has already been migrated to OneTru and is currently running in production.
  • The team operates as a globally distributed organisation, with members located across both India and the United States, ensuring continuous support, platform evolution, and migration activities.
  • The batch ecosystem processes petabytes of data annually, making it one of the most data-intensive platforms within the Credit domain. Daily operations include:

* Management of approximately 1,000 batch trigger configurations

* Execution and support of 100+ LFE (Logical Flow Engine) configurations

* Processing of large-scale credit and operational data workloads on a daily basis 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

  • Accelerate migration from on-premises infrastructure to OneTru GCP cloud portal. Deliver a scalable and resilient batch processing platform capable of handling enterprise-scale data volumes.
  • Simplify management of batch triggers and LFE daily running configurations through automation and standardisation using AI.
  • Improve operational efficiency, reliability, and time-to-market for business initiatives.
  • Testing automation using AI.

Required Knowledge And Experiences

  • Design and implement AI-powered applications using Large Language Models (LLMs).
  • Develop intelligent agents capable of planning, reasoning, tool usage, and workflow orchestration.
  • Build Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data.
  • Evaluate, benchmark, and optimize LLMs for enterprise use cases.
  • Implement prompt engineering, model fine-tuning strategies, and guardrails.

Required Technical Skills

  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval Augmented Generation (RAG)
  • Agentic AI Architectures
  • Model Evaluation & Benchmarking
  • Embedding Models
  • Vector Databases
  • Python (Expert)
  • SQL
  • REST APIs
  • LangChain
  • LangGraph
  • Google Cloud Platform (Preferred)

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development- while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good - you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion Job Title

Engineer, Applications Development

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