PayPal MLSE job description

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  • 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
  • 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 one or more Container-ecosystem (Docker, Mesos, Kubernetes) is a plus
  • Experience with BigData ecosystem Hadoop, Hive, Spark/PySpark is a plus

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