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Data Analyst

4.00 to 6.00 Years   Bangalore   02 Oct, 2023
Infosys Limited
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    A day in the life of an InfoscionAnalyzing user requirements, envisioning system features and functionality.Design, build, and maintain efficient, reusable, and reliable software solution by setting expectations and features priorities throughout development life cycleIdentify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom developmentContributing to team meetings, troubleshooting development and production problems across multiple environments and operating platformsUnderstand Architecture Requirements and ensure effective Design, Development, Validation and Support activities Must have handled AI/ML integration with multiple platform.Working exposure with could native solution with AWS/GCP/AZURE.Working knowledge in analyzing, modelling, and training AI/ML models.Have exposure in designing and proposing solutions in AI/ML.Must have exposure to telemetry integration and systems. Good team player with exposure in managing teams and client rapport.Must have exposure to cluster based hyperscalers.Must have exposure in developing AI/ML models for deriving insights from Big Data systems and Data Lakes.Good to have cloud and containerization exposureBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:High analytical skillsA high degree of initiative and flexibilityHigh customer orientationHigh quality awarenessExcellent verbal and written communication skillsLogical thinking and problem solving skills along with an ability to collaborateTwo or three industry domain knowledgeUnderstanding of the financial processes for various types of projects and the various pricing models availableClient Interfacing skillsKnowledge of SDLC and agile methodologiesProject and Team management,

Keyskills :
sqldata analysismicrosoft excelcustomer relationsreportinghigh degree of initiativehigh analytical skillsclient interfacing skillsbig datalife cycleteam managementproblem solvingmachine learninganalytical skillsuser requirementsclient inter

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