Synechron

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Technology Machine Learning Engineer Jersey City, NJ or New York, NY, USA
Role:
  • Develop scalable tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing and Time Series predictions
  • Apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models
  • Create an effective roadmap towards the deployment of a production-level machine learning application.

 

Skills & Qualifications:
  • MS or PhD in a Quantitative Discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science
  • Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder (AE). 
  • Strong knowledge and ability to code in Python, Java or C++
  • Extensive experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
  • Familiarity with basic data table operations (SQL, Hive, etc.)
  • Experience with big-data technologies such as Hadoop, Spark, SparkML
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