Previous Job
Previous
Technical Lead, Natural Language Processing Research Engineer
Ref No.: 18-00002
Location: New York, New York
Our client is a Global Financial Services firm located in Manhattan.

Candidate will work in the newly formed Artificial Intelligence team in Wealth Management. Candidate will be doing hands-on Research and Development and will be responsible for delivering NLP-based products in the financial domain. Products may span Deep/Shallow Question Answering, Search, ChatBots to enable various operation tasks, client assistance based on inferred client needs, Virtual Assistant to Financial Advisors etc. It is expected that the team will grow as business needs grow and candidate should be able to mentor and guide other NLP Research Engineers to build, release and maintain these products.
 *LI-AG1
 
QUALIFICATIONS
Primary Skills / Must have
- Experienced professional with minimum 8 years of experience doing research and development, building NLP-based systems in one or more areas below:
- QA Systems: Experience developing end-to-end Statistical and/or Deep Learning NLP systems or components for Topic detection and modeling, Question Answering, text/document retrieval, text classification, sentiment analysis etc.
- Dialogue System: Experience developing end-to-end systems or components for conversational dialogue systems.
- Must be a self-starter and have excellent communication and presentation skills.
- Must have experience leading small teams formally or informally.
- Experience working as a part of a distributed team. 
- Must be able to liaise with business execs, understand business requirements and turn them into technical requirements as we diversify.
- MS or Ph.D. in Computer Science, Computational Linguistics, Electrical Engineering or related disciplines.

Secondary Skills / Desired skills
- Experience working with DBs, Knowledge graphs, Ontologies. 
- Experience with UIMA based development, NL toolkits such as NLTK, Scikit-learn, Stanford NLP, Keras, Tensor Flow, Theano and other DL toolkits.
- Experience developing and releasing a commercial/scalable NLP-based product.
- NLP experience in the Financial Domain.
- Experience creating and evaluating systems with WikiQA, SQuAD*LI