Yourteam WearelookingforahighlyexperiencedSeniorAIMachineLearningEngineertodesign,build,andoperateenterprise-scaleAIsolutionsforaleadingfinancialinstitution. YouwillcollaboratewithAI,DataandBusinessteamstodeliverandsupportscalableGenerativeAI,MLOps,AIPlatform,andCloudAIcapabilitieswhileensuringoperationalexcellence,security,andregulatorycompliance. Yourrole leadthedesign,development,anddeploymentofend-to-endAI/MLandGenerativeAIsolutions buildAI-poweredapplicationsincludingchatbots,RAGsystems,andAgenticAIsolutionswithrobustevaluation,monitoring,andperformanceframeworks developandmaintainscalablebackendservices,APIs,anddatapipelinesusingPython,FastAPI,ApacheSpark,anddistributedprocessingtechnologies implementMLOps,andobservabilitypracticesformodeldeployment,monitoring,optimisation,governance,andlifecyclemanagement establishengineeringstandardsandCI/CDframeworkstoensurecodequality,testing,reproducibility,automatedreleases,andproduction-gradeAIdeployments collaboratecross-functionallywithbusiness,product,data,security,andoperationsteamsinagileenvironmentstodeliverimpactfulAIsolutions providetechnicalleadership,productionsupport,andmentorship,coachingjuniorAIengineersandfosteringacultureofcontinuouslearningandknowledgesharing Yourexpertise strongexpertiseinPythonandmodernAIecosystems,includingLangChain,LangGraph,PyTorch,Ollama,vLLM,andrelatedframeworksforAIapplicationdevelopment extensiveexperiencedesigning,deploying,andoperatingenterprise-gradeGenerativeAIsolutions,includingchatbots,RAGarchitectures,LLMapplications,andlocallyhostedLLMdeployments proficientinAzureCloudAIplatforms,Oracledatabases,andenterpriseintegrationtechnologies,deliveringscalableandsecureAIsolutions deepknowledgeofMachineLearningandNLP,includingsentimentanalysis,NER,documentclassification,topicmodelling,andlanguageunderstandingsystems strongMLOps/AIOpsexpertise,coveringreproduciblepipelines,automatedevaluation,modelversioning,featurestores,observability,CI/CDautomation,andAIlifecyclemanagement hands-onexperiencewithlarge-scaledataengineeringanddistributedcomputing,leveragingApacheSpark,Ray,Kafka,andQlikfordataprocessing,MLworkflows,andhigh-performanceinference recognizedfortechnicalleadership,stakeholdermanagement,ownership,andoperationalexcellencePreferredexperiencein FinancialServices,Banking,Insurance,orWealthManagement regulatedandhighlysecureenvironments CloudorAI-relatedcertification Ouroffer AtUBSCardCenterweembraceflexibleworkingarrangementsandofferdifferentworkingmodelssuchaspart-time,job-sharingandhybridworking.Ourpurpose-drivencultureandglobalinfrastructurehelpusconnectandcollaborateinagilewaystomeetallourbusinessneeds.Aworkingenvironmentdrivenbyinnovation,digitalization,newmobilepaymentmethodsandcustomerexperienceawaitsyou. Ourculture Fromgainingnewexperiencesindifferentrolestoacquiringfreshknowledgeandskills,weknowthatgreatworkisneverdonealone.Weknowthatit'sourpeople,withtheiruniquebackgrounds,skills,experiencelevelsandinterests,whodriveourongoingsuccess.Ifyouvaluegoodteamwork,canchallengeothersbutalsoliketobechallenged,thenyouhavetherightattitudetogrowinourcompany.Readytobepartofourteamandmakeanimpact? #J-18808-Ljbffr
Senior AI Machine Learning Engineer 100% Arbeitgeber: UBS Card Center AG
UBS ist ein hervorragender Arbeitgeber, der seinen Mitarbeitenden ein modernes und agiles Arbeitsumfeld bietet, in dem Innovation und Teamarbeit im Mittelpunkt stehen. Mit flexiblen Arbeitsmodellen und einer offenen Unternehmenskultur fördert UBS die persönliche und berufliche Weiterentwicklung seiner Mitarbeitenden und schafft Raum für kreative Ideen. Die zentrale Lage und die umfangreichen Benefits machen die Position als Product Owner zu einer attraktiven Möglichkeit, aktiv an der Zukunft des UBS Card Centers mitzugestalten.
