Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
productionisingmachinelearningmodelsinclosecollaborationwithDataScienceandResearchteams,
supportingproductionMLsystemsthroughtroubleshooting,rootcauseanalysisandcontinuousimprovements,
applyingDevOpsandSiteReliabilityEngineering(SRE)principlestoimprovethereliability,scalabilityandmaintainabilityofMLservices,
Yourprofile:
provenexperiencedeployingandoperatingmachinelearningmodelsinproductionenvironments,
hands-onexperiencewithautomatedmonitoring,alertingandproductiontroubleshooting,
advancedknowledgeofMLOps,includingmodellifecycleautomation,CI/CDpipelinesandreleasemanagement,
practicalexperiencewithcloudplatforms,preferablyGoogleCloudPlatform(GCP),supportinglarge-scaledataandMLworkloads,
experiencewithcontainerisedservicesandproductiondeploymentenvironments,
familiaritywithAI-assistedcodingtoolsandtheirpracticalapplicationinsoftwaredevelopment,
abilitytocollaborateeffectivelywithDataScience,Researchandotherengineeringteams,
availabilitytoworkinahybridmodelfromWarsawandparticipateinin-personprojectmeetingswhenrequired.
Nicetohave:
experiencewithdistributeddataprocessingandfeatureengineeringpipelines,e.g.VertexPipelines,DaskorSpark,
familiaritywithcloud-basedmodelservingecosystemsandmicroservicearchitectures,
experiencewithcross-languagemodelintegrationpatterns,
knowledgeoffeaturestoresandtrain/serveconsistencycontrols,
hands-onexperiencewithGCPservicessuchasVertexAI,BigQueryandCloudStorage.
Recruitment Process: CV
review –
HR
call –
Interview
–
Client
Interview –
Decision
ML Engineer in Katowice – pracodawca: Poland and Central-Eastern Europe
Xebia to doskonały pracodawca, który oferuje wyjątkowe możliwości rozwoju zawodowego w dynamicznym środowisku pracy. Nasza kultura opiera się na współpracy i innowacyjności, co pozwala pracownikom na realizację ambitnych projektów w obszarze zarządzania danymi. Pracując w Xebia, zyskujesz dostęp do szkoleń oraz wsparcia w rozwijaniu umiejętności technicznych, a także możliwość pracy w międzynarodowym zespole, co czyni naszą ofertę atrakcyjną dla osób poszukujących znaczącej i satysfakcjonującej kariery.
Dane kontaktowe:
Zespół rekrutacyjny Poland and Central-Eastern Europe
