MLE/MLOps, OOPs Python, Data Bricks,Azure

5 - 10 years

4 - 8 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


 Educational Requirements 
MCA,MSc,Bachelor of Engineering,BBA,BSc  Service Line 
Data & Analytics Unit 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 and Professional 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 (e.g., 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.
     Preferred
    Skills:
  •  
    Technology-Analytics - Functional-Business Analyst
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