23 days old

Federal - Natural Language Processing (NLP) Technical Lead

Baltimore, MD 21217

Organization: Accenture Federal Services

Location: Woodlawn, MD

Accenture Federal Services, a wholly owned subsidiary of Accenture LLP, is a U.S. company with offices in Arlington, Virginia. Accenture's federal business has served every cabinet-level department and 30 of the largest federal organizations. Accenture Federal Services transforms bold ideas into breakthrough outcomes for clients at defense, intelligence, public safety, civilian and military health organizations.

We believe that great outcomes are everything. Its what drives us to turn bold ideas into breakthrough solutions. By combining digital technologies with what works across the worlds leading businesses, we use agile approaches to help clients solve their toughest problems fastthe first time. So, you can deliver what matters most.

This is an extraordinary opportunity
to build a rewarding career with excellent benefits at Accenture Federal
Services. Working in highly collaborative teams for world-leading clients,
well nurture your talent in an inclusive culture that values diversity. While
fast-tracking your career, youll have the flexibility to pursue your
specialist passions. So, whatever your work and life goals, well help you
achieve them. Sooner.

NLP Technical Lead will provide technical leadership and
engineering support for a Task Order using advanced natural language processing
techniques, deep learning and big data analytics.


+ NLP Technical Lead will
lead inter-disciplinary teams, develop, and productionize Machine
Learning/Deep Learning models

+ Define reference and
solution architectures that support cloud initiatives, big data and data
lake use cases, and traditional data platforms

+ Create and maintain
conceptual, logical, and scalable physical data models that embrace Domain
Driven Design best practices

+ As the NLP Technical
Lead, you will have experience with and ability to formulate solutions
using one or more of the following models: Deep Learning (CNNs, RCNNs,
LSTMs), GANs, Autoencoders, Siamese Networks, Logistic Regression, Linear
Regression, Support Vector Machines, Hidden Markov Models, Conditional
Random Fields, Latent Dirichlet Allocation


+ Master's Degree and 8+ years of experience in a domain relevant to NLP or clinical environment or demonstrated equivalent track record

+ 8+ years of hands-on distributed data processing experience using Hadoop, Spark

+ 5+ years of experience managing enterprise data analytics teams

+ 5+ years leveraging big data consumption tools such as Impala, Hive, Drill, or similar query engines

+ Hands-on experience with a broad range of current deep learning tools (e.g., TensorFlow, Spark, PyTorch, Keras, Nvidia Digits) and collaboration environments (e.g. Jupyter notebooks, PyCharm)

+ Experience in designing Machine Learning systems is highly preferred

+ Experience in Relational Modeling, Dimensional Modeling, and Modeling of Unstructured data

+ Applied experience in Natural Language Generation (NLG), Natural Language Understanding (NLU) and Natural Language Processing (NLP)

+ Proven experience providing technical leadership

Preferred Skills:

+ Excellent oral and written communication skills

+ Excellent time management

+ Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals

+ Ability to contribute to the creation of an environment that motivates individuals to work collaboratively as a team

Desired Qualifications:

+ PhD desired

+ Experience with NLP technologies in a clinical background

+ Expert level understanding of the UMLS

+ Experience designing methods for dealing with large document source variance

+ Expert level understanding of ontology and taxonomy curation

+ Prior publication is a plus

+ Java coding capabilities with experience in J2EE framework such as Core Java, Spring, EJB, JDBC, JMS, Struts

+ Demonstrated knowledge of Clinical Terminology, Vocabulary, and Standards of Health IT and an understanding of Health IT Standards (HL7 v2.x, HL7 v3, ASTM, X12N, HITSP component specifications, Clinical Document Architecture, Continuity of Care Record and the Health Story implementation guides)

+ Experience validating or adhering to Health Information Technology Standards Panel (HITSP) Standards

+ Experience with Integrating the Healthcare Enterprise (IHE) Standards (PIX, PDQ, XDS.b, XDR)

+ Demonstrated knowledge of/experience with Web Service Security (WS-Security, WS-Addressing, SAML, XACML)

An active security clearance or the ability to obtain one may be required for this role.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.

Equal Employment Opportunity

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.


Posted: 2020-03-09 Expires: 2020-04-08

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Federal - Natural Language Processing (NLP) Technical Lead

Baltimore, MD 21217

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