Discovering, analyzing, structuring and mining data
Statistical hypotheses validation and model performance analysis
Developing neural network models supporting business use cases
Design and coordinate implementation of DL based solutions for production usage
Deep understanding of data mining algorithms and statistical methods
Experience in successfully applying machine learning to real-world problems
Strong knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
Knowledge in python and packages for data analysis (scipy, numpy, pandas, matplotlib)
Proficient in one or more of programming languages Scala, Java, C++
Strong knowledge of extracting and processing data with RDBMS/NoSQL
Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes)
Good communication skills and team player attitude
Experience in Natural Language Processing/Understanding using deep neural networks ( RNN (LSTM, GRU) / CNN) is a plus
Experience in working with GPU, profiling/low-level optimizations, Cuda/CuDNN is a plus
Experience with BigData ecosystem Hadoop, Hive, Spark/PySpark is a plus
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