JOB DESCRIPTIONYou're an original. So are we.We're a company of people who like to forge our own path. We invented the blue jean in 1873, and wereinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing.And we work to build sustainability into everything we do. Our brands stand for freedom andself-expression around the world.Where we lead, others follow. For more than 160 years, we've used the strength of our brands tolead with our values and make an outsized impact on the world. We employ more than 15,000 peopleglobally to support our great brands: Levi's, Dockers, Denizenand Signature by Levi Strauss &Co.At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim ismade.We are taking one of the world's most iconic brands into the next century:from creating machine learning-powered denim finishes to using block-chain for our factory workers'wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supplychain.Be a pioneer in the fashion industry by joining our global Data, Analytics & AI "startup withassets," where you will have the chance to build exciting solutions to help our Americas businessand at the same time be part of a bigger, across-continents, data community.As the Machine Learning Engineer, you will work along side the Data Science team to operationalizethe Machine Learning Models in Production on a broad set of domains that power a data-driventransformation of our standard business procedures across channels and organizations. You willdevelop and deploy novel approaches to optimize existing machine learning systems to maximize theirvalue and increase consumer satisfaction at every brand touchpoint. The Machine Learning Engineerwill report into the Director of AI/ML Engineering.We are open to candidates located in the following areas: Brussels Belgium, Barcelona Spain,Madrid Spain, & London UK.About The JobImplement end-to-end solutions for batch and real-time algorithms along with requisitetooling around monitoring, logging, automated testing, performance testing and A/B testingIdentify new opportunities to improve business processes and improve consumer experiences,and prototype solutions to demonstrate value with a crawl, walk, run mindset.Work with data scientists and analysts to create and deploy new product features on theecommerce website, in-store portals and the Levi's mobile appEstablish scalable, efficient, automated processes for data analyses, model development,validation and implementationWrite efficient software to ship products in an iterative, continual-release environmentContribute to and promote good software engineering practices across the teamContribute to and re-use community best practicesEmbody the values and passions that characterize Levi Strauss & Co., with empathy to engagewith colleagues from multiple backgroundsExample ProjectsBesides driving the transformation of Levi's into a data-driven enterprise in general, here aresome specific projects you will work on and contribute to:Personalized in-session product recommendation engineCustomer SegmentationAutomated text summarization and clusteringNext-Best offer predictionDesign Microassortments for Next-Gen storesAnomaly detection and Root Cause AnalysisUnified consumer profile with probabilistic record linkageVisual search for similar and complementary productsMore About YouUniversity or advanced degree in engineering, computer science, mathematics, or a relatedfield7+ years experience developing and deploying machine learning systems into productionExperience working with a variety of relational SQL and NoSQL databasesExperience working with big data tools: Hadoop, Spark, Kafka, etc.Experience with at least one cloud provider solution (AWS, GCP, Azure)Experience with object-oriented/object function scripting languages: Python, Java, C++,Scala, etc.Experience working in a Linux environmentKnowledge of data pipeline and workflow management toolsExpertise in standard software engineering methodology, e.g. unit testing, test automation,continuous integration, code reviews, design documentationRelevant working experience with Docker and Kubernetes is a big plusLOCATIONBarcelona, SpainFULL TIME/PART TIMEFull timeCurrent LS&Co Employees, apply via your Workday account.This employer is a corporate member ofmyGwork, the business community for LGBTQ+ professionals,graduates, inclusive employers & anyone who believes in workplace equality.
