Required Qualifications
- Bachelors degree in Computer Science, Software Engineering, Information Systems, or related technical field.
- 5+ years of software engineering experience, including developing enterprise-scale applications or platforms.
- Exposure to AI/ML or Generative AI concepts, with willingness to build and deploy AI-powered solutions in production environments.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Understanding of distributed systems, microservices architectures, APIs, and event-driven platforms.
- Software development proficiency in one or more modern programming languages such as Java, Python, C#, Go, or TypeScript.
- Familiarity with CI/CD pipelines, Infrastructure as Code, and modern DevOps practices.
- Good communication and teamwork skills with the ability to collaborate effectively within technical teams.
- Willingness to learn and work in regulated, security-conscious, and data-intensive environments.
Preferred Qualifications.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Experience working within credit reporting, financial services, fintech, identity, fraud, risk, or data analytics industries.
- Exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI architectures, vector databases, or orchestration frameworks.
- Experience contributing to AI platforms, developer tools, internal AI assistants, or AI governance solutions.
We're also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we're happy to support your career development and growth in:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Experience working within credit reporting, financial services, fintech, identity, fraud, risk, or data analytics industries.
- Exposure to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI architectures, vector databases, or orchestration frameworks.
- Experience contributing to AI platforms, developer tools, internal AI assistants, or AI governance solutions.
- Awareness of MLOps platforms and model lifecycle management concepts.
TransUnion Overview
Workforce for Good
Workforce for Good
Workforce for Good
For Quick Consideration:
Please drop an email along with your updated resume to Pallavi.TN@transunion.com
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