Overview

The Generative AI Centre of Expertise (GenAI CoE) at Experian exists to improve our products, our internal processes and our day-to-day work through GenAI and process automation. The team is a mix of ML engineers, data scientists and product owners, who are dedicated to the next wave of innovation using GenAI.

Who is a ML Engineer? In the GenAI CoE, ML Engineers drive the delivery of concepts and proven ideas into products and services that Experian can take to their customers, whether that be businesses or direct to consumers. To do this, we build upon the outcomes of our experiments to meet the product requirements - considering performance, maintainability, and scalability. We, alongside the data scientists in the team, collaborate with a range of stakeholders.

Responsibilities

• Partner with teams across the organisation to design and build GenAI solutions—from early experimentation to full-scale production—potentially including DevOps work where needed.
• Architect and build high-performant solutions, which may involve traditional ML modelling and/or large datasets, as well as GenAI.
• Discover and introduce new technologies to the team, staying up to date with the latest approaches that enable the next generation of Experian\'s products with GenAI and ML.
• Learn quickly and be able to put new GenAI concepts into practice.
• Spend 10% of your work time on continuous learning and sharing expertise on generative-AI technologies.

Qualifications

• Have experience in Python.
• Are a self-starter with strong troubleshooting skills.
• Have a degree or equivalent qualification in a STEM subject.
• Are familiar with Unix environments.
• Exposure to at least one other programming language besides Python.
• Proficiency in object-oriented programming (OOP), SOLID principles, and test-driven development (TDD).
• Proficiency with Docker and experience working with container orchestration tools such as Kubernetes, Docker Swarm, or cloud-based alternatives.
• Comfort working across the full development stack, especially for prototyping.
• Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle.
• Conceptual understanding of common ML approaches (e.g., LLMs, GBMs, deep learning) and typical software architectures.
• Detail-oriented, pragmatic, and collaborative team player.
• Experience as a lead developer tackling complex problems at scale.
• Experience mentoring junior engineers.
• Familiarity with various machine learning frameworks and toolkits (e.g., scikit-learn, XGBoost, TensorFlow).
• Hands-on experience building GenAI solutions using patterns such as Retrieval-Augmented Generation (RAG) or fine-tuning Large Language Models (LLMs).
• Experience with cloud computing platforms, with greater familiarity with AWS compared to other clouds.
• Experience developing REST APIs.

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Equity and Inclusion

Experian is proud to be an Equal Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.