AI/ML Automation Engineer

Posted 2 Hours Ago
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Pune, Mahārāshtra, IND
Hybrid
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Design and automate AI/ML model deployment and analytics pipelines. Translate models into production, build data extraction and processing workflows using R/Python/SQL/Hive/Spark, create LLM-based automation and APIs, integrate with enterprise systems, optimize scalability and cost, and drive AI adoption across cross-functional teams.
Summary Generated by Built In

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Team Overview

This role offers the opportunity to work on complex, high‑impact programs, combining technical problem‑solving with client and business interaction. You will design and execute advanced test plans, analyze data to ensure accuracy and integrity, and independently resolve system or processing issues to guarantee high‑quality delivery.
You will act as a trusted advisor to business users and clients, contribute to solution design for medium to high‑complexity programs, and play a key role in driving continuous improvement and change across operations. This position is ideal for someone who enjoys ownership, collaboration, and making a tangible impact on both systems and customer outcomes. 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

  • Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. 

  • At least four (4) years of professional experience performing analytic work in AI / ML roles

  • Strong analytical, critical thinking, and creative problem-solving skills

  • Advanced programming skills; proficiency with a statistical language such as R/Python; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools

  • Experience in ML model productionization 

  • Hands-on exposure to LLMs, prompt engineering, agents, and RAG 

  • Experience working with Google Cloud Platform (GCP) and GCP services such as Vertex AI and Cloud Run

  • Experience integrating with Java/C++/.NET systems 

  • Strong problem-solving and communication skills

  • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment

  • Strong project management skills with the ability to manage multiple assignments effectively

  • Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.  And, at least two (2) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry

  • Familiarity with credit bureau data and business practices

  • Experience in risk, fraud, or decisioning systems 

  • Familiarity with Ollama, LangChain, LlamaIndex, Semantic Kernel 

  • Experience with MLOps tools 

  • Operates independently in a complex and dynamic, matrixed environment

  • Experienced working in a company with a global presence

  • Experience with modern "big data" frameworks (Hadoop, Spark, cloud)


Required Knowledge And Experiences

  • In this position you are responsible for supporting the development of deployment and automation framework of credit risk models and business intelligence analytic solutions through consulting engagements and research serving TransUnion’s clients.

  • You will partner with internal and external cross-functional teams to translate analytics models into production systems 

  • You will design and write programs for data extraction, pipeline set-up and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on server and cloud based computing platforms.

  • You will Build AI automation workflows using LLMs & create APIs for enterprise integration to deliver analytic solutions for internal and external customers.

  • You will identify strategies and opportunities to optimize systems for scalability and cost to deliver and adopt TransUnion’s analytic products and services.

  • You will drive AI adoption and innovation to foster a high performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.


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


Consultant, Model Development

Skills Required

  • Bachelor's degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field
  • At least four (4) years of professional experience performing analytic work in AI / ML roles
  • Proficiency with statistical languages and programming (R, Python)
  • Experience with SQL, Hive, Pig, Spark and big data frameworks (Hadoop) on server/cloud platforms
  • Experience in ML model productionization and MLOps tools
  • Hands-on exposure to LLMs, prompt engineering, agents, and RAG
  • Experience with Google Cloud Platform and services such as Vertex AI and Cloud Run
  • Experience integrating analytics with enterprise Java, C++, and .NET systems
  • Strong analytical, problem-solving, communication, and project management skills
  • Master's or PhD in a quantitative field and 2+ years advanced analytic experience in Financial Services/consumer credit
  • Familiarity with credit bureau data, business practices, and experience in risk, fraud, or decisioning systems
  • Familiarity with Ollama, LangChain, LlamaIndex, Semantic Kernel
  • Experience working in a company with a global presence

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul
Alex Barnett
Sheetal Wathare
TransUnion
TransUnion

TransUnion Compensation & Benefits Highlights

  • Parental & Family Support Paid, gender‑neutral parental leave with a gradual return is highlighted alongside adoption/surrogacy/infertility support and backup care through Care@Work. Dependent‑care FSA options and caregiver assistance further bolster family support.
  • Healthcare Strength Day‑one medical, dental, and vision coverage is offered with HSA/FSA options, EAP/therapy sessions, 24/7 support, and wellness programming. Coverage extends to dependents and includes mental‑health resources.
  • Retirement Support A 401(k) plan features no waiting period, an employer match, and immediate 100% vesting. Employees can also participate in an Employee Stock Purchase Plan to build long‑term financial security.

TransUnion Insights

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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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