Senior Machine Learning Engineer

Company Description

Ready to make a difference? Experian has evolved into a global tech company and leader in data and analytics. We’re passionate about unlocking the power of data in order to transform lives and create opportunities for consumers, businesses and society. We’re a constituent of the FTSE 30 and for more than 125 years we’ve helped economies and communities flourish – and we’re not done.

Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We’re investing in the future, through new technologies, talented people and innovation so we can help create a better tomorrow. To do this we employ ‘big-thinkers’ and ‘can-doers’ that share our purpose #uniquelyexperian

Job Description

Role Summary

We are looking for a Senior Machine Learning Engineer to join our global engineering team. We need a person who can work hands-on as an engineer, solving complex problems and building advanced software systems. We face daily challenges that are both unique and engaging, while processing data at petabyte scale. That is over one trillion data points in any given 60-day period — with consumer privacy and data security at the heart of everything we do.

Knowledge, Skills and Experience

• Google Cloud Platform (GCP), Google Dataflow/Beam, SQL, BigQuery
• Spark ML, TensorFlow, Kubeflow, Python, PyTorch
• Scala, sbt, cats, http4s, fs2
• Airflow, Looker, Kubernetes

Key Responsibilities

• Serve as a Senior member of the team by contributing to the architecture, design, and implementation of EMS systems
• Mentor junior engineers and enable their growth
• Lead and drive technical projects. Take responsibility for the planning, execution and success of complex technical projects
• Collaborate with other engineering, product, and data science teams to ensure we’re building the best products
• Ability to be on call if required and to accommodate east coast time zone

Qualifications

Qualifications

• 5+ years of experience making significant contributions in the form of code
• Strong understanding of algorithms and data structures and knowing when to apply them
• Strong understanding of machine learning techniques to develop better predictive and clustering models
• Experience working with high-scale systems
• Experience in creating powerful machine learning tools that facilitate experimentation and productionalization at scale
• Experience in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data to expose it in a consumable format

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.