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MLE/MLOps, OOPs Python, Data Bricks,Azure

2 weeks ago

Bengaluru, Karnataka, India Infosys Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description:We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning SpaceOur analysts have a blend of in depth domain expertise in one or more areas in Retail and CPG Domain strong business acumen and excellent soft skills Exposure to TechnologyTechnical SkillsMust Have SkillsMLOps Implementation and Support ExperiencePython Programming Expert and Experienced 4 5 yearsDevOps Working knowledge with implementation experience 1 or 2 projects a minimumHands On MS Azure Cloud knowledgeOperations Experience if anyList Azure services required for deployment Azure Data bricks and Azure DevOps SetupWell verse in coding standards flake8 etcAutomation Technology and Process Improvement for the deployed projectsAgile trained to manage team effort and track through JIRANice to have SkillsUnderstanding of any one of domain Eg Retail Supply chain Logistics ManufacturingSoft SkillsStrong verbal and written communication skills with the ability to work well in a teamStrong customer focus ownership urgency and driveAbility to handle multiple competing priorities in a fast paced environmentWork well with the team members to maintain high credibilityWork Experience3 5 years of experience in Machine Learning Azure and MLOpsKey Responsibilities:Understand the requirements from the business and translate it into an appropriate technical requirementResponsible for successful delivery of MLOps solutions and services in client consulting environmentsDefine 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 clientAssist clients with operationalization metrics to track performance of ML ModelsHelp team with ML Pipelines from creation to executionGuide team to debug on issues with pipeline failuresUnderstand and take requirements on Operationalization of ML Models from Data ScientistEngage with Business Stakeholders with status update on progress of development and issue fixSetup Standards related to Coding Pipelines and DocumentationResearch on new topics services and enhancements in Cloud TechnologiesTechnical Requirements:Educational Requirements any of the followingBachelor of Engineering Bachelor of Technology in any stream with consistent academic track recordBachelor s degree in a quantitative discipline egOperation Research Statistics Mathematics or significant relevant coursework with consistent academic track recordAdditional Academic Qualification good to haveMasters in any area related to Science Operation Research Mathematics and Statistics with consistent academic track recordPhD in any streamPreferred Skills:Technology->Analytics - Functional->Business Analyst