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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Management Consulting / Strategy |
Functional Area | DBA / Datawarehousing,General / Other Software |
EmploymentType | Full-time |
Key Responsibilities1) Data Science :a. Build ML/AI models leveraging a strong understanding of Machine Learning principles including standard algorithms for Regression and Classification, Deep Learning constructs (RNN, CNN, RBMs, Auto Encoders, GANs) and AI systems such as Voice to Text, NLP/NLU and Recommender systemsb. Design and build Voice based analytic systems to provide conversational features and also use such systems for data capture.c. Use voice analytics to capture buying intent, additional buying considerations and voice assisted voice search systemsd. Able to understand the determinants of success for a Machine Learning system, Model accuracy and efficiency, Data requirements, Training and Test constructs, CI/CD for ML systemse. Able to build standard ML systems using available ML components provided by AWS, Azure and GCP.,
Keyskills :
machine learningpythondata analysissqlanalyticsdata sciencedeep learningposition managementawsazuredesignbuyingsearchsciencetrainingencodersfeaturescomponentsalgorithms