Job
Description
- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.
