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.

RoleOverview

AsaSeniorDataScientistatAryaXAI,youwillbeuniquelypositionedtotacklelarge-scale,enterprise-levelchallengesinregulatedenvironments.You’llleadcomplexAIimplementationsthatprioritizeexplainability,riskmanagement,andcompliance,directlyimpactingmission-criticalusecasesinthefinancialservicesindustryandbeyond.Yourexpertisewillbecrucialindeployingsophisticatedmodelsthataddressthenuancesandstringentrequirementsofregulatedsectors.

Responsibilities

• ModelEvaluation&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.

Qualifications

• Educational&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.