Big Data Eco System like Hadoop and Spark and Scala ML
Machine learning models. Predictive Analytics .
Apply knowledge in one or more of the following areas to achieve goals and deliver results:
o NLP and Machine learning
o Computer programming (programming languages, computer science, scientific computing)
o Computer analytics architecture (e.g. distributed computing and modern databases)
Works collaboratively in a multi-disciplinary team environment; establishes and maintains professional
networks with subject matter experts.
Work as a direct contributor and key technical advisors to define the roadmap of project.
Self-motivated and driven to satisfy intellectual curiosity through the pursuit of learning and development of new skills.
Experience working with a wide variety of statistical models such as linear/logistic regression, clustering, support vector machines (SVM) neural networks, Random Forest, CRF, Bayesian models, supervised/unsupervised learning, etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some.
Knowledge of Natural Language Processing (NLP) techniques (POS Tagging, NER, Semantic Role Labelling etc.) and good working experience with at least one of the frameworks (e.g. Stanford NLP, Apache Open NLP, Mallet, Ling pipe, NLTK).
Deep knowledge and experience in both key areas Information Extraction (from structured and unstructured data and represent that knowledge) Knowledge Information Retrieval.
At least 2 years of work experience related to Question Answering, Information Extraction and Knowledge Representation and Reasoning.
It would be good to have if candidate has knowledge of Depp Learning(ANN,CNN,RBM) and has NLP Deep Learning experience related to Word2Vec, Thought Vectors.