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Full Stack Data Scientist – Data Analytics Team

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Job Description:

AbouttheRole:

Wearelookingforahands-onFullStackDataScientistwhocanindependentlymanagethe
entiremachinelearninglifecycle-fromdatawranglingtodeployment-withoutrelyingona
dedicateddataengineeringteam.Thisroleisidealforsomeonewhothrivesinafast-paced,self-
directedenvironmentandispassionateaboutbuildingreal-worldMLsolutionsthatdrive
businessoutcomes.
KeyResponsibilities:
OwnthefullMLpipeline:dataingestion,cleaning,featureengineering,model
development,deployment,andmonitoring.
Buildandfine-tunemodelsusingPythonandframeworkslikeScikit-learn,XGBoost,
TensorFlow,orPyTorch.
DeploymodelsusingDatabricks,MLflow,andcloud-nativetools(preferablyAzure).
Developrobust,scalablepipelinesusingPySparkornativeDatabricksworkflows.
CollaboratewithBIanalystsandbusinessstakeholderstotranslaterequirementsinto
production-readysolutions.
Maintainandimproveexistingmodelsandpipelineswithminimalsupervision.
RequiredSkills:
3+yearsofexperienceinapplieddatascienceorMLengineering.
StrongPythonprogrammingskills,includingexperiencewithdatamanipulationandMLlibraries.
ExperiencewithDatabricksandcloud-basedMLdeployment(Azurepreferred).
AbilitytoworkindependentlyacrossthefullstackofMLdevelopmentanddeployment.
Familiaritywithversioncontrol(Git),CI/CD,andMLOpsbestpractices.
Excellentcommunicationskillsandabilitytoworkwithremoteteamsacrosstimezones.
NicetoHave
ExperiencewithdatapipelinedevelopmentusingPySparkorDeltaLake.
ExposuretoDocker,RESTAPIs,orreal-timeinference.
Priorexperienceworkinginamanufacturingorindustrialanalyticsenvironment.
InterviewProcess:
Shortlistedcandidateswillberequiredtocomplete:
AnonlinetechnicalskillsassessmentfocusedonPythonandappliedmachinelearning.
Anin-personpracticaltestatourAhmedabadTechCentertoevaluatereal-world
problem-solvinganddeploymentcapabilities.

Hours:2:30PM-11:30PMIST(working from Office)
Reportsto:Manager,DataAnalyticsCalifornia,USA

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