Cognitive analytics Architect/Tech Lead/Developer

Loc: San Jose, CA

Dur: 12 M+

Rate: OPEN

• Skilled resource in Data Science specializing in Artificial Intelligence and Cognitive Computing software development.
• Able to engineer data science components of intelligent agents, chatbots, question/answer systems, and decision science query systems.
• Useful skills are: Natural Language Processing (NLP) techniques such as classifiers, part-of-speech tagging, NLU systems, etc.
• Word embeddings, parsers, word/concept mapping systems (SVMs), and language analysis adapting/building on:
• Tensorflow & SyntaxNet or Python NLTKApache TIKA/MLLib/Mahout and UIMA/SoLRGLOVE, 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, especiallythe ability to construct and evaluate training and validation data sets.
• Able to develop on VM systems and Linux/Windows, SPARK, Github, familiar with IDEs, build software APIs, proficient with modern languages like Python, Ruby.
• Knowledge of statistics, predictive models, and predictive analytics is helpful.
  

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