| W2 Contract-Remote Hiring-Machine Learning Engineer OR AI Engineer-Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Panchdev Pathak, Parin Technologies LLC [email protected] Reply to: [email protected] This is Panchdev from Parin Technologies LLC. Just came across your profile on one of the job portals and just wanted to check if you might be interested in the position below. In case you are available and interested please share your most recent resume and reply to me at your earliest. Job Title: Machine Learning Engineer/AI Engineer Job Location: Remote Duration (In Weeks): 25 OR 6 + Months Skills/Attributes: Azure,CI/CD tools,Docker,GIT,Java,Kubernetes,Machine Learning,Python,SQL Pay rate Max:$60 per hour on W2 without benefits all inc Position Description: Whatarethetop5-10responsibilitiesforthisposition(Pleasebedetailedastowhatthecandidateisexpectedtodoorcompleteonadailybasis) Youwilldesign,develop,test,deploy,maintain,andenhanceMachineLearningPipelinesusingK8s/AKSbasedArgoWorkflowOrchestrationsolutions. Participateandcontributeindesignreviewswithplatformengineeringteamtodecidethedesign,technologies,projectpriorities,deadlines,anddeliverables. YouwillworkcloselywithDataLakeandDataScienceteamtounderstandtheirdatastructureandmachinelearningalgorithms. UnderstandingofETLpipelines,andingress/egressmethodologiesanddesignpatterns. Implementrealtimeargoworkflowpipelines,integratepipelineswithmachinelearningmodels,andtranslatedataandmodelresultsintobusinessstakeholdersDataLake. DevelopdistributedMachineLearningPipelinefortraining&inferencingusingArgo,Spark&AKS. BuildhighlyscalablebackendRESTAPIstocollectdatafromDataLakeandotheruse-cases/scenarios. DeployApplicationinAzureKubernetesServiceusingGitLabCICD,Jenkins,Docker,Kubectl,HelmandMainfest. Experienceinbranching,taggingandmaintainingtheversionsacrossthedifferentenvironmentsinGitLab. Reviewcodedevelopedbyotherdevelopersandprovidefeedbacktoensurebestpractices(e.g.,checkingcodein,accuracy,testability,andefficiency). Debug/track/resolvebyanalyzingthesourcesofissuesandtheimpactonapplication,network,orserviceoperationsandquality. Functional,benchmark&performancetestingandtuningforthebuiltworkflows. Assess,design&optimizetheresourcescapacities(e.g.Memory,GPUetc.)forMLbasedresourceintensiveworkloads. Whatskills/technologiesarerequired(pleaseincludethenumberofyearsofexperiencerequired) Bachelors/MastersdegreeinComputerScienceorDataScience. 5to8yearsofexperienceinsoftwaredevelopmentandwithdatastructures/algorithms. 5to7yearsofexperiencewithprogramminglanguagePythonorJAVA,databaselanguages(e.g.,SQL),andno-sql. 5yearsofexperienceindevelopinglarge-scaleinfrastructure,distributedsystemsornetworks,experiencewithcomputetechnologies,storagearchitecture. StrongunderstandingofmicroservicesarchitectureandexperiencewithbuildinganddeployingRestAPIsusingPython,FlaskandDjango. 5yearsofexperiencewithUnitandFunctionaltestcasesusingPyTest,UnitTestandMockingExternalServicesforfunctionalandnon-functionalrequirements. StrongunderstandingandexperiencewithKubernetesforavailabilityandscalabilityoftheapplicationinAzureKubernetesService. ExperienceinbuildinganddeployingapplicationswithAzure,usingthird-partytools(e.g.,Docker,KubernetesandTerraform). ExperiencewithcloudtoolslikeAzureandGoogleCloudPlatform. Experiencewithdevelopmenttools,CI/CDpipelinessuchasGitLabCI/CD,Artifactory,CloudbeesandJenkins. Whatskills/attributesarepreferred(theseareadesired,notrequired) Python,Kubernets,ArgoWorkflow,ArgoEvent,Hive,SQL,no-sql,RestAPIs,Helm,Docker,Jenkins. Skill Matrix : Skill Years of experience Last Used Azure CI/CD tools Docker GIT Java Kubernetes Machine Learning Thanks & Regards, Panchdev Pathak M: (551) 349-7100 | E: [email protected] Keywords: continuous integration continuous deployment artificial intelligence machine learning wtwo |
| [email protected] View all |
| Thu Mar 07 02:57:00 UTC 2024 |