Programming in Python, C++, R , Azure ML
Strong Foundation in statistical modelling for Machine Learning
Probability and Statistics: Firm understanding of Probability & Statistics like Naive Bayes ,Gaussian Mixture Models, Hidden Markov Models etc
Applied Math + Algorithms: Discriminate models like SVM, convex optimization, gradient decent , quadratic programming, lagrange, partial differential equations, etc
Distributed Computing: firm understanding of map-reduce, distribute-file systems to handle large data sets in a distributed computing environment
Familiarity with the Hadoop sub-projects: HBase, Zookeeper, Hive, Mahout, etc, to store& access data, and scale
Advanced signal processing techniques: Able to use wavelets, shearlets, curvelets, contourlets, bandlets, time-frequency analysis for feature extraction
Participate in internal and customer meetings assisting with the ongoing evolution of technology/solutions offerings in Azure Machine Learning
Lead set up of MS Azure Machine Learning team and Coach them based on project requirement and priorities.
Work in 2 in a box model with Offshore/Onsite Delivery . managers
Provide technical oversight across MS Azure Machine Learning projects .
Implement processes to ensure consistently high-quality technology delivery
Rapidly prototype new solutions in collaboration with team members and Customer
Help grow the technology practice while providing mentorship and guidance to direct reports.
Sales Support activities for MS Azure Machine Learning projects
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