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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | Banking / Financial Services |
Functional Area | General / Other Software,Sales / BD |
EmploymentType | Full-time |
Minimum requirements A degree in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science, or similar Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE). 3+ years of hands-on experience developing machine learning models. Ability to develop and debug in Python, Java, C or C++. Proficient in GIT version control. R and Matlab are also relevant. Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, stats models). Familiarity with basic data table operations (SQL, Hive, etc.) Should be able to work both individually and collaboratively in teams, in order to achieve project goals. Must be curious, hardworking and detail-oriented, and motivated by complex analytical problems. Must have the ability to design or evaluate intrinsic and extrinsic metrics of your model s performance which are aligned with business goals. Must be able to effectively communicate technical concepts and results to both technical and business audiences.Preferred skills Python, R, SQL, Hadoop, AWS Functional industry experience in home ledning domian is an added plus.,
Keyskills :
javasqljavascriptsql serverjquerydata sciencecomputer sciencemachine learningoperations research