AIML Automation Engineer

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Team Overview

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

• Masters 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 TransUnions 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 integrationto deliver analytic solutions for internal and external customers.

• You will identify strategies and opportunities to optimize systems for scalability and costto deliver and adopt TransUnions analytic products and services.

• You will drive AI adoption and innovationto 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 drivers 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; thats 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 youll work with great people pioneering products and cutting-edge technology.

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