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Machine learning Developer

4 - 5 years

4 - 8 Lacs

Posted:2 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

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 Financial Services strong business acumen and excellent soft skills Exposure to Technology

Key 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 Models
  • Agile trained to manage team effort and track through JIRA
  • High Impact Communication Assesses the target audience need prepares and practices a logical flow answers audience questions appropriately and sticks to timeline

Technical 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 years
  • DevOps Working knowledge with implementation experience 1 or 2 projects a minimum
  • Hands On MS Azure Cloud knowledge
  • Understand and take requirements on Operationalization of ML Models from Data Scientist
  • Help team with ML Pipelines from creation to execution
  • List Azure services required for deployment Azure Data bricks and Azure DevOps Setup
  • Assist team to coding standards flake8 etc
  • Guide team to debug on issues with pipeline failures
  • Engage with Business Stakeholders with status update on progress of development and issue fix
  • Automation Technology and Process Improvement for the deployed projects
  • Setup Standards related to Coding Pipelines and Documentation
  • Adhere to KPI SLA for Pipeline Run Execution
  • Research on new topics services and enhancements in Cloud Technologies

Preferred Skills:

Technology->Machine Learning->Generative AI

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