It is a scope out the business requirements by performing necessary data driven statistical analysis and conduct exploratory analysis on large volumes of data understand the statistical shape and use the right visuals to drive & present the analysis and analyze the and extract relevant information from large amount of data and derive useful insights at big data scale and work with labellers to manage truth data and perform feature engineering as needed. Train, validate, test,optimise neutral net models.
It is a scope out the business requirements by performing necessary data driven statistical analysis and conduct exploratory analysis on large volumes of data understand the statistical shape and use the right visuals to drive & present the analysis and analyze the and extract relevant information from large amount of data and derive useful insights at big data scale and work with labellers to manage truth data and perform feature engineering as needed. Train, validate, test,optimise neutral net models.
B.Tech/Ms
ML Frameworks – Pytorch or Tensorflow in College projects
Internships or preferably Kaggle competitions
ML Frameworks – Pytorch or Tensorflow in College projects
Internships or preferably Kaggle competitions
Hands-on in Data Analysis & Data engineering skills involving Sqls, PySpark etc.
Exposure to ML & Data services on the cloud – AWS, Azure, GCP Understands Computer architecture, Operating systems, and Algorithms.
Understanding Transformer models and its related math & internals is a big plus.