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Deep Learning Scientist / Engineer


Headquarters: Boston, MA
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We are looking for a Deep Learning Scientist/Engineer with Scientific expertise and real-world experience in deep learning (Recurrent neural networks, Recursive neural networks, Convolutional neural networks and Deep neural networks)

Roles and Responsibilities:
Understanding complex business challenges, manipulating big data sets.

Designing scientific solutions using cutting edge machine learning or statistical modeling techniques.

Building scalable solutions that create great business impact

Continuously advancing your skills and those of others

Strong and effective communication with Business user, Management and Team

Desired Skills and Experience:
Experience with Deep Learning, Machine Learning and Natural Language Processing algorithms and tools

Very strong background in one or more computational areas (Computational Linguistics, Computer Science, Statistics, Economics, Physics )

Experience with deep learning frameworks (e.g. TensorFlow, Theano, Caffe)

Expertise in one or more modeling/machine learning environment, platforms and technologies like Linux, SAS, R , Python,Bash,Shell and Javascript

Understanding of classification methods (e.g., Neural Net, Logistic Regression, Decision Trees, KNN, SVM, Random Forests)

Familiar with Regression methods (e.g., Linear, Nonlinear, Boosted Regression Trees ),Clustering methods (e.g., K-means, Fuzzy C-means, Hierarchical Clustering, Mixture Modeling), Time-series Modeling / Forecasting (e.g., AR, ARMA, GARCH, Exponential Smoothing) and Statistical Analysis (e.g., Hypothesis Testing, Experiment Design, Hierarchical Modeling, Bayesian Inference)

Good Knowledge about Big Data related techniques like Hadoop HDFS, Map-Reduce, Hive, Spark and NoSQL

Advanced skills in SQL

Must have at least 5 years relevant corporate working experience

Educational Qualification:
Master or Ph. D in Computer Science/ Mathematics/ Statistics/ Engineering