Sr Data Scientist (London)
AryaXAIstandsattheforefrontofAIinnovation,revolutionizingAIformission-critical,highlyregulatedindustriesbybuildingexplainable,safe,andalignedsystemsthatscaleresponsibly.OurmissionistocreateAItoolsthatempowerresearchers,engineers,andorganizations—includingbanks,financialinstitutions,andlargeenterprises—tounlockAI'sfullpotentialwhilemaintainingtransparency,safety,andregulatorycompliance.Ourteamthrivesonasharedpassionforcutting-edgeinnovation,collaboration,andarelentlessdriveforexcellence.AtAryaXAI,everyteammembercontributeshands-oninaflatorganizationalstructurethatvaluescuriosity,initiative,andexceptionalperformance,ensuringthatourworknotonlyadvancestechnologybutalsomeetstherigorousdemandsofregulatedsectors.RoleOverviewAsaSeniorDataScientistatAryaXAI,youwillbeuniquelypositionedtotacklelarge-scale,enterprise-levelchallengesinregulatedenvironments.You’llleadcomplexAIimplementationsthatprioritizeexplainability,riskmanagement,andcompliance,directlyimpactingmission-criticalusecasesinthefinancialservicesindustryandbeyond.Yourexpertisewillbecrucialindeployingsophisticatedmodelsthataddressthenuancesandstringentrequirementsofregulatedsectors.ResponsibilitiesModelEvaluation&Customization: Evaluate,fine-tune,andimplementappropriateAI/MLmodelsonAryaXAI.comtailoredforenterpriseandregulatedusecases.Considerfactorssuchasaccuracy,computationalefficiency,scalability,andregulatoryconstraints.ArchitecturalAssessment: Assessandrecommendvariousmodelarchitectures,ensuringthatselectedsolutionsmeetthehighstandardsrequiredbycomplexbusinessproblemsinfinancialservicesandotherregulatedindustries.EnterpriseIntegration: LeadthedeploymentofAImodelsintoproductionenvironments,ensuringseamlessintegrationwithexistingenterprisesystemswhileupholdingstrictcomplianceandsecuritystandards.AdvancedAITechniques: Drivethedevelopmentandimplementationofstate-of-the-artAIarchitectures,incorporatingadvancedexplainability,AIsafety,andalignmenttechniquessuitedforregulatedapplications.Specialization&Innovation: Takeownershipofspecializedareaswithinmachinelearning/deeplearningtoaddressspecificchallengesrelatedtocomplexdatasets,regulatoryrequirements,andenterprise-gradeAIsolutions.Collaboration&QualityAssurance: CollaboratecloselywithMachineLearningEngineers(MLEs)andSoftwareDevelopmentEngineers(SDEs)torolloutfeatures,managequalityassurance,andensurethatalldeployedmodelsmeetbothperformanceandcompliancebenchmarks.Documentation&Compliance: Createandmaintaindetailedtechnicalandproductdocumentation,withanemphasisonauditabilityandadherencetoregulatorystandards.QualificationsEducational&ProfessionalBackground: Asolidacademicbackgroundinmachinelearning,deeplearning,orreinforcementlearning,ideallycomplementedbyexperienceinregulatedindustriessuchasfinancialservicesorenterprisesectors.RegulatedIndustryExperience(FS,BankingorInsuranceispreferred): Proventrackrecord(2+years)ofhands-onexperienceindatasciencewithinhighlyregulatedenvironments,withadeepunderstandingoftheuniquechallengesandcompliancerequirementsinthesesettings.TechnicalExpertise: Demonstratedproficiencywithdeeplearningframeworks(TensorFlow,PyTorch,etc.)andexperienceinimplementingadvancedtechniques(Transformermodels,GANs,etc.).DiverseDataHandling: Experienceworkingwithvarieddatatypes—includingtextual,tabular,categorical,andimagedata—andtheabilitytodevelopmodelsthathandlecomplex,enterprise-leveldatasets.DeploymentProficiency: ExpertiseindeployingAIsolutionsinbothcloudandon-premiseenvironments,ensuringrobust,scalable,andsecureintegrationswithenterprisesystems.Publications&Contributions: Peer-reviewedpublicationsorsignificantcontributionstoopen-sourcetoolsinAIarehighlyregarded. #J-18808-Ljbffr