Job Responsibilities/skills:

• Experience with natural language processing and machine learning (both supervised & unsupervised)
• Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, LSI, MRFs etc.)
• Experience in one or more of the following areas: entity/relation extraction, information extraction, summarization, semantics, document classification, ontology, question answering, knowledge graph
• In-house models to perform OCR and text classification
• In-house NLP models to map the extracted data to our canonical taxonomy of vendors and line items (e.g., using word embeddings, etc.) at scale
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
• Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Knowledge of Python, Java and R
• designing an intelligent digital assistant, including text normalization and tokenization, NLU,

Ability to write robust and testable code

• Strong communication skills
• An analytical mind with problem-solving abilities
• Ability to effectively design software architecture

Education/Experience:

• Bachelor's degree in computer science, software engineering or relevant field required.
• 3+ years NLP experience required.