Assistant Machine Learning Engineer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Assistant Machine Learning EngineerFull-timeEmployee Status: RegularRole Type: HomeDepartment: AnalyticsSchedule: Full TimeCompany DescriptionExperian 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 accomplish 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.Job DescriptionWe are a lean team building cloud solutions that users actually get excited about—and we care just as much about how we ship them as what we build: simple, secure, and scalable.Beyond technical strength, we value engineers who bring ownership and clarity to their daily work. Engineers who plan and are breaking down complexity. Additionally, they communicate progress early, ensuring there are no surprises.As an Assistant Machine Learning Engineer you will connect the dots between your work and outcomes, explain ideas in a clear and simple way, and learn in an empowered environment.You will report to Product Manager. What you'll do:Deploy and configure Ascend Sandbox environments using CI/CD, ensuring repeatable, scalable and reliable platform setupDesign, build and maintain data pipelines to support product and analytics use cases on Ascend SandboxContribute to end-to-end platform and services design, integration and rollout across new marketsMaintain and improve Sandbox platform and servicesSupport product development on top of Ascend platformsQualificationsWhat you'll bring:Experience with Azure, main cloud services (Azure blob storage, Virtual machines, networking, Active Directory), Databricks, Azure Data FactoryExperience with CI/CD process development (Jenkins)Experience with infrastructure as a code (Terraform)Exposure to LinuxKnowledge of OOP principles, data structures, algorithms and design patternsKnowledge and appreciation of Agile development methodologies and techniques3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, MatplotLib)Basic knowledge of statistics and of measures used for evaluating performance of Machine Learning models, such as precision, recallExperience with Data Science concepts such as overfitting, cross-validation, test-vs-train splitKnowledge in managing Databricks or similar platforms, with experience in data management and data processingExperience using PySpark, SparkSQL, Delta Lake, DataFrames, jobs, Model tracking, and administration for notebooks and workflowWe will consider any of the following abilities an advantage:Experience with containerization of ML models (fastapi)Experience with AWS, main cloud services (S3, EC2, Lambda functions, networking) + EKS, Sagemaker, managed elastic search and kafka servicesExperience with Apigee for APIs managementExperience with SSO integrations (Okta)Additional InformationYou will get:Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.Social benefit package including life insurance, food vouchers, additional...