Company Description

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 realise 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 www.experianplc.com

Job Description

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.

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.

You will:

• 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.
• Lead the team by example in engineering best practices and actively drive continual improvements in the quality of our output.
• Support and mentor other ML Engineers and Data Scientists with engineering challenges, from cloud engineering to serving LLMs, across our portfolio of projects.
• Work with other ML Engineers to maintain the experimentation cloud environments that the team work in day-to-day.
• 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

• Are proficient in Python.
• Are a self-starter with strong troubleshooting skills.
• Have experience with cloud computing platforms.

It would be fantastic if you have:

• Familiarity 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.
• Detailed-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).
• Greater familiarity with AWS compared to other cloud computing platforms.
• Have experience developing REST APIs.

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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Experian Careers - Creating a better tomorrow together

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