End to end Machine learning model development from data collection to preprocessing cleaning modeling hyperparameter tuning evaluation interpretation and deployment.
Develop and demonstrate proficiency with multiple languages platforms algorithms and verticals.
Ability to learn new algorithms and technologies.
Collaborate with internal/external stakeholders to manage data logistics including data specifications transfers structures and rules.
Access and extract data from a variety of sources of all sizes.
Provide problemsolving and data analysis derived from programming experience.
Contributing in the development and deployment of applied predictive and prescriptive analytics.
Develop selflearning systems that can predict failures and autocorrect based on data.
Requirements:
Have good implementation experience with R Python Perl Ruby Scala Apache Spark Storm and SAS.
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