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Key job responsibilities- Develop state of the art experimental approaches and ML models
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
- Research new and innovative machine learning approaches
- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 5+ 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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