1.understand and translate business and functional needs into machine learning problem statements.
2.translate complex machine learning problem statements into specific deliverables and requirements
3.design and develop and deploy scalable solutions in production that leverage machine learning and deep learning models to meet enterprise requirements
4.keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization
1.ms or phd degree in computer science or related technical discipline, or related practical experience.
2.3+ years of industrial experiences in applied machine learning at large scale
3.strong experience with machine learning tools and libraries such as tensorflow, scikit-learn, r, spark, pytorch, caffe.
4.strong programming experiences with c++/java/go/python.
5.strong industrial experience in nlp, search, or recommendation systems is a plus.