MLE or MLOps and OOPs Python and Data Bricks and Azure


Company Name


Job Description

  • 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 Space
    • Our 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 Technology
    • Technical Skills
    • Must Have Skills
    • MLOps Implementation and Support Experience
    • Python Programming Expert and Experienced 4 5 years
    • DevOps Working knowledge with implementation experience 1 or 2 projects a minimum
    • Hands On MS Azure Cloud knowledge
    • Operations Experience if any
    • List Azure services required for deployment Azure Data bricks and Azure DevOps Setup
    • Well verse in coding standards flake8 etc
    • Automation Technology and Process Improvement for the deployed projects
    • Agile trained to manage team effort and track through JIRA
    • Nice to have Skills
    • Understanding of any one of domain Eg Retail Supply chain Logistics Manufacturing
    • Soft Skills
    • Strong verbal and written communication skills with the ability to work well in a team
    • Strong customer focus ownership urgency and drive
    • Ability to handle multiple competing priorities in a fast paced environment
    • Work well with the team members to maintain high credibility
    • Work Experience
    • 3 5 years of experience in Machine Learning Azure and MLOps
    Key Responsibilities:
    • Understand the requirements from the business and translate it into an appropriate technical requirement
    • 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 Models
    • Help team with ML Pipelines from creation to execution
    • Guide team to debug on issues with pipeline failures
    • Understand and take requirements on Operationalization of ML Models from Data Scientist
    • Engage with Business Stakeholders with status update on progress of development and issue fix
    • Setup Standards related to Coding Pipelines and Documentation
    • Research on new topics services and enhancements in Cloud Technologies
    Technical Requirements:
    • Educational Requirements any of the following
    • Bachelor of Engineering Bachelor of Technology in any stream with consistent academic track record
    • Bachelor s degree in a quantitative discipline eg
    • Operation Research Statistics Mathematics or significant relevant coursework with consistent academic track record
    • Additional Academic Qualification good to have
    • Masters in any area related to Science Operation Research Mathematics and Statistics with consistent academic track record
    • PhD in any stream

Job Details

Experience : 3 To 5
Number Of Vacancies : 10
Job Type : Permanent
Industry Type : IT/Software
Salary : 5 Lac - 7 Lac P.A

Education Summary

UG : BE/B.Tech PG : MCA

Contact Details

Contact Person : NA
Contact Number : 7338856831
e-mailId : askus@infosys.com
Address : Infosys Ltd. Plot No. 1, Rajiv Gandhi Infotech Park, Hinjawadi, Taluka Mulshi, Pune.

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Office Location

Central Jakarta No 1234, Jakarta, Indonesia

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