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Major responsibilities:- Leverage Deep Learning, NLP, and Reinforcement Learning for our Optimization Systems.- Develop offline policy estimation tools and integrate with reporting systems.- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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