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About the Role
Job Title: Data Science Engineer (Artificial intelligence)
Job description
Strong trained knowledge in devising/enhancing machine learned (DL, NN) algorithms and data mining techniques for solving complex Big Data and enabling key business use cases through completion.
Machine Learning (Must have):
Strong knowledge in ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K-Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning.
Experience in frameworks such as Spark, Lucene or EMR to implement real-time ML systems
Data / AI Engineering (Must have):
Hands-on expertise in scripting Python, R.
AI / DL Frameworks
Knowledge of atleast two frameworks AI / DL frameworks Tensorflow, Keras, MxNet, Caffe. CNTK, Theano / Pytorch
Hands-on usage of leading tools for productionizing DL solutions AWS Sagemaker / Librarie...
Job description
Strong trained knowledge in devising/enhancing machine learned (DL, NN) algorithms and data mining techniques for solving complex Big Data and enabling key business use cases through completion.
Machine Learning (Must have):
Strong knowledge in ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Boosting, K-Means, Ensembler Classifiers, Random Forest, convex optimization, transfer learning.
Experience in frameworks such as Spark, Lucene or EMR to implement real-time ML systems
Data / AI Engineering (Must have):
Hands-on expertise in scripting Python, R.
AI / DL Frameworks
Knowledge of atleast two frameworks AI / DL frameworks Tensorflow, Keras, MxNet, Caffe. CNTK, Theano / Pytorch
Hands-on usage of leading tools for productionizing DL solutions AWS Sagemaker / Librarie...
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