Company Description
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. We help 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 in working towards their financial goals and helping them save time and money.
We operate in various markets, including financial services, healthcare, automotive, agribusiness, insurance, and other industry segments.
We invest in people and new advanced technologies to unlock the power of data. As an 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.
Job Description
The Experian Consumer Services Generative AI team is accelerating Experian's impact by bringing together data, technology, and data science to build game-changing products and services for our customers. We are looking for a Senior Software Engineer, reporting to the Head of AI/ML Innovation, to support developing and integrating our Generative AI Models with Consumer Services products. These new capabilities will help provide Financial Power to All our customers. As a growing team, we embrace a startup mentality while operating in a large organization. We value speed and effect – and our results and ways of working are transforming the culture of the larger organizations around us.
Role accountabilities and essential activities
- You'll develop and integrate our generative AI solutions with existing software teams building products
- Develop a scalable machine learning framework for data science products
- You will develop scalable pipelines, tools, and services for building production-ready machine-learning models
- Work with our data scientists to pilot our products with beta customers
- Maintain our culture of simple, streamlined code and full CI/CD automation
- Develop simple, streamlined, and well-tested ML pipeline components
Qualifications
- You have 5+ years of experience
- Strong coding experience in Python with some familiarity to PySpark and SQL
- Familiarity with popular python libraries such as pandas, numpy, flask, matplotlib
- Familiarity with the AWS platform and services, including CI/CD automation methods
- Familiarity with AWS serverless methodology, particularly Fargate, Lambda, ECR
- Familiarity with CloudFormation, Terraform, or equivalent
- You have experience working with machine learning or generative AI libraries such as Langchain, llamaindex, Langsmith, and llamaguard
- Open source Foundation models: llama3, llama2, mistral, falcon, phi
- Orchestration Frameworks: Mlflow, airflow
- Some knowledge of javascript (node.js) as a front end
- You have experience or familiarity with Databricks AI services and Mosaic branded services
- Comfortable supporting troubleshooting and assessment of production issues when needed
- You are experienced with monitoring tools such as Splunk, Datadog, Dynatrace
- Test writing discipline in standard development tools and processes, e.g., gitub, Jira, Slack
- Record of building and maintaining large-scale software systems in production
Additional Information
Benefits/Perks
- Great compensation package and bonus plan
- Core benefits including full medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remotely, hybrid, or in-office
- Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
Additional Information
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people's agenda very seriously and focus on what matters: DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's 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 media or our careers site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is important to 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, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please let us know as soon as possible.
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Top Skills
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society.
During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity.
We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime.
For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done.
Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow.
About Experian:
Bringing data to life requires creativity, passion, flexibility and expertise.
We want you to share in our success. That's why we offer rewards that recognise great performance.
Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career.
Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
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