AryaXAI

AryaXAIstandsattheforefrontofAIinnovation,revolutionizingAIformission-critical,highlyregulatedindustriesbybuildingexplainable,safe,andalignedsystemsthatscaleresponsibly.OurmissionistocreateAItoolsthatempowerresearchers,engineers,andorganizations—includingbanks,financialinstitutions,andlargeenterprises—tounlockAI'sfullpotentialwhilemaintainingtransparency,safety,andregulatorycompliance.All potential candidates should read through the following details of this job with care before making an application.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. xwzovoh Publications&Contributions:Peer-reviewedpublicationsorsignificantcontributionstoopen-sourcetoolsinAIarehighlyregarded.

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