? 10+ Years of Development experience ? Build software APIs, proficient with modern languages like Python, Ruby. ? Natural Language Processing (NLP) techniques such as classifiers, part-of-speech tagging, NLU systems, etc. ? Word embedding, parsers, word/concept mapping systems (SVMs), and language analysis adapting/building on: ? Tensorflow & SyntaxNet or Python NLTK ? Apache TIKA/MLLib/Mahout and UIMA/SoLR ? GLOVE, Word2Vec, using k-means or LDA algorithms, etc. ? Theano (computational analysis and rapid machine learning algorithm development). ? Scikit Python machine learning. ? Other AI/ML platforms also useful. ? Knowledge of IBM Watson is a good plus. ? Able to work with Knowledge Graphs or semantic web hyper-graphs, for example: ? Resource Description Framework (RDF), Neo4J, Stardog, SPARQL, semantic web tools. ? Experience with Machine Learning, Deep Learning, Reinforcement Learning, or Neural Networks usage, especially ? Ability to construct and evaluate training and validation data sets. ? Able to develop on VM systems and Linux/Windows, SPARK, Github, familiar with IDEs, ? Knowledge of statistics, predictive models, and predictive analytics is helpful. Phd in Data science/Machine Learnign preferable.