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MLE Professional

MLE Professional

ConfidentialBengaluru / Bangalore
5 days ago
Job description
  • Design and implement effective feature engineering using Azure tools.
  • Set up and manage a feature store on Azure for centralized feature storage.
  • Develop machine learning models using Azure ML, incorporating engineered features.
  • Deploy models on Azure, ensuring seamless integration with applications.
  • Establish monitoring systems for model performance and conduct regular maintenance.
  • Integrate ML solutions with Azure services like Databricks and SQL Database.
  • Remote is also fine

    • Good in python SQL, API written and packaged deploy, some knowledge of ML, good to have knowledge on CI CD pipeline Min 5+ years
    • Required Skills :

    • Azure ML and Data Services :   Proficient in Azure ML and relevant data services.
    • Feature Store Management :   Experience setting up and managing feature stores on Azure.
    • Feature Engineering Techniques :   Strong understanding and application of feature engineering.
    • Programming (Python) :   Proficient in Python and ML frameworks .
    • Model Deployment :   Ability to deploy models as APIs on Azure.
    • Monitoring and Optimization :   Skill in implementing monitoring solutions and optimizing models.
    • Collaboration and Communication :   Effective collaboration with cross-functional teams.
    • Skills Required

      Python, Sql

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