About us, but we’ll be brief

　　We are very proud that FORTUNE named us one of The 100 Best Companies to Work For. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.

　　The Experian Software Solutions (ESS) team is accelerating Experian’s impact by bringing together data, tech, and data science and build game-changing products and services for our customers. We are looking for a Director of Machine Learning Engineering to lead the development of our AI platform and products that serve the needs of Experian’s clients. 

　　Our team is tackling key questions, like – How can we increase the rigor and scalability of our modeling approach, especially as the industry expands into generative AI (genAI)? How can we tackle important issues in the space today like bias, fairness and explainable AI, and how will we adapt with genAI?  

　　As a growing team, we embrace a start-up mentality while operating in a large matrix organization. We value speed, agility, and impact – and our results and ways of working are transforming the culture of the larger organizations around us.  

　　Your role 

　　Joining our team in ESS, you'll lead a team of engineers and scientists responsible for developing and operationalizing our machine learning platform. In addition, as our lead, you’ll be responsible for defining and shaping the tech culture and be an active voice in shaping our products and software architecture. This is a unique opportunity to get involved from the ground level as part of a growing, dynamic team. 

　　You will: 

　　• Lead a diverse development team to build and maintain a scalable development framework to enable the rapid development, evaluation, and deployment of custom machine learning models, including large language models (LLMs) 

　　• Oversee the build of some of our most ambitious client-facing applied AI models, including leveraging generative AI, through to production release 

　　• Design and development of complex frameworks for applying ML / data science techniques to large structured and unstructured data volumes  

　　• Develop scalable pipelines, tools, and services for building production-ready machine learning models 

　　• Determine the best implementation approaches for technically complex features to inform our product roadmaps 

　　• Work closely with our product owners and end-users to pilot our products  

　　• Hyper-focus on establishing a culture of developing high-quality models and software through rapid data-driven decision making, automation, and streamlined processes. Set design principles, coding standards and development practices for your team to follow, as well as others in the organization working on adjacent applications 

　　Knowledge, Skills, and Experience 

　　• Bachelors in computer science, engineering, statistics, or related field.  

　　• 8+ years of industry experience as a hand-on practitioner of machine learning engineering and/or data science, including 2+ years in leadership roles managing teams 

　　• Deep experience with current-generation data science algorithms and processes (e.g., xgboost, hyperparameter tuning) minimally including modern language models (e.g. Transformers) with a strong preference for use of generative AI models (e.g., fine-tuning, prompt engineering of GPT APIs, reinforcement learning) 

　　• Expert knowledge in Python (e.g., pandas, numpy, sklearn, pytorch, langchain), SparkSQL and data science platforms such as AWS Sagemaker or Databricks 

　　• Track record of building and maintaining large-scale machine learning and/or data engineering systems in production 

　　• Familiarity with writing asynchronous REST API backends 

　　• Familiarity with data-oriented workflow orchestration frameworks (e.g., Kubernetes), DevOps tooling, including Jenkins, ArgoCD, and common cloud infrastructure (e.g., AWS suite) 

　　• Comfortable supporting troubleshooting and triage of production issues when needed 

　　• Strong test writing discipline and confident in standard development tools and processes, e.g., git, Jira, Slack 

　　• Experience in financial services and/or credit modeling and/or healthcare analytics 

　　All your information will be kept confidential according to EEO guidelines.

　　Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU (https://www.flipsnack.com/79B9EDC8B7A/the-power-of-you-report-external-2020/full-view.html)  and and it reflects what we believe.  See our DEI work in action (https://www.experian.com/diversity/) !

　　Please contact us at [email protected] to request the salary range of this position (please include the exact Job Title as it reads above in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including 12 company paid holidays and parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

　　Experian Careers - Creating a better tomorrow together

　　Find out what its like to work for Experian by clicking here (https://www.experian.com/careers/)

　　Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above.  Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience and education.  This position is also eligible for a variable pay opportunity and a comprehensive benefits package which includes health, life and disability insurance, generous paid time off including paid parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

　　Experian is proud to be an Equal Opportunity and Affirmative Action employer. We’re passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses, and society. For more than 125 years, we’ve helped people and economies flourish – and we’re not done.

　　We take our people’s agenda very seriously. We focus on what truly matters; diversity and inclusion, work/life balance, flexible working, development, collaboration, wellness, reward & recognition, volunteering, making an impact... the list goes on. See our DEI work in action (https://www.experian.com/diversity/our-commitment/index) !

　　The power of YOU (https://www.experianplc.com/media/4459/english-experiandei-report_2022.pdf) . We are building a culture where everyone is comfortable bringing their whole self to work. A place where we not only respect our differences and values but celebrate them in a positive and supportive environment.

　　Find out what is like to work for Experian and discover the Unexpected (https://www.experian.com/careers/) !