NLP/ML Data Engineer - job id 32569


Your Way To Work™

NLP/ML Data Engineer

F/T Employee

Midtown NYC on 6th



How to Apply

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Claire Volis


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(732) 757-2841


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(212) 616-4800 ext-590




A F/T position at a global financial services firm - AI, MACHINE LEARNING, NATURAL LANGUAGE PROCESSING, NLP

Pay Options: F/T Employee.

Contact Liam Brown 646-876-9541 or email liam@sans.com with the Job Code 32569 or Click the Apply Now button

Location: Midtown NYC on 6th.

Skills required for the position: MACHINE LEARNING, NATURAL LANGUAGE PROCESSING.


Detailed Info: The successful candidate will perform groundbreaking work in Natural Language Processing and Machine Learning methods, and will tailor them to front-office applications involving credit analysis, trading strategies, pricing models, and more. Projects may involve applying NER and sentiment analysis techniques to analyze corporate financial documents and news articles; or using state-of-the-art parsing methods to extract bond covenant information, and then using a training model to derive bond behavior under stressed scenarios.


The ideal candidate for this would possess a combination of research and professional experience in the fields related to Natural Language Processing and Machine Learning. The person should be on the forefront of NLP/ML technologies, and be able to translate theory to projects that are deliverable on the commercial scale.


Development/Computing Environment:

Qualifications

Skills Required:

- MS at a minimum, PhD preferred in Natural Language Processing, Machine Learning, or related field

- 5+ years, a combination of professional and/or research experience

- Apply different NLP techniques to areas such as sentiment analysis, classification, data/knowledge extraction, disambiguation

- Expertise in NLP methods such as LSA, LDA, Semantic Hashing, Word2Vec, LSTM, BiDAF

- ML experience with different supervised and unsupervised learning algorithms

- Expertise in one or more programming languages: Java 8, Scala, Python, R, willing to consider others

- Experience working with large, complex and diverse data sets from a variety of sources

- StanfordCoreNLP/GATE experience a plus

- Experience with Spark, or similar frameworks a plus

- Publications on ML/NLP a big plus.

The position offers competitive compensation package.


Job Id: 32569