Responsibilities :Responsible for successful delivery of MLOps solutions and services in client consulting environments;Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.Assist clients with operationalization metrics to track performance of ML ModelsAgile trained to manage team effort and track through JIRAHigh Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.Technical and Professional Requirements :Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to -Python Programming - Expert and Experienced - 4 -5 yearsDevOps Working knowledge with implementation experience - 1 or 2 projects a minimumHands-On MS Azure Cloud knowledgeUnderstand and take requirements on Operationalization of ML Models from Data ScientistHelp team with ML Pipelines from creation to executionList Azure services required for deployment, Azure Data bricks and Azure DevOps SetupAssist team to coding standards (flake8 etc)Guide team to debug on issues with pipeline failuresEngage with Business / Stakeholders with status update on progress of development and issue fixAutomation, Technology and Process Improvement for the deployed projectsSetup Standards related to Coding, Pipelines and DocumentationAdhere to KPI / SLA for Pipeline Run, ExecutionResearch on new topics, services and enhancements in Cloud TechnologiesPreferred Skills :Technology->Machine Learning->Generative AIEducational Requirements :Bachelor of EngineeringService Line :Data & Analytics Unit
