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ML & NLP Technical Lead

Woodlawn, MD
Position Role/Tile: ML & NLP Technical Lead
Location: Woodlawn, MD.

The candidate will provide technical leadership and engineering support for a Task Order using advanced natural language processing techniques, deep learning and big data analytics. 
Technical Skills:
  • 10+ years of experience with enterprise level big data analytics management
  • 8+ years of experience with Distributed Computing
  • 5+ years of experience with Natural Language Processing (NLP)
  • 5+ years of experience with Deep Learning
  • 5+ years of experience with Big Data Consumption tools             
  • 10+ years of experience with Data Modeling
Job Responsibilities:
  • PhD or Master Degree +12 years experience in a domain relevant to NLP or clinical environment or demonstrated equivalent track record
  • 12 – 15 years of experience managing enterprise data analytics teams
  • 8+ years of hands-on distributed data processing experience using Hadoop and Spark
  • 5+ years leveraging big data consumption tools such as Impala, Hive, Drill, or similar query engines
  • Applied experience in Natural Language Generation (NLG), Natural Language Understanding (NLU) and Natural Language Processing (NLP)
  • Experience in Relational Modeling, Dimensional Modeling, and Modeling of Unstructured data
  • 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
  • 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 leading inter-disciplinary teams, develop, and productionize Machine Learning/Deep Learning models
  • Experience in designing Machine Learning systems is highly preferred
  • 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
  • Proven experience providing technical leadership
  • 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
The following skills are not required but are desirable:
  • Experience with NLP technologies in a clinical background
  1. Expert level understanding of the UMLS
  2. Experience designing methods for dealing with large document source variance
  3. Expert level understanding of ontology and taxonomy curation
  4. Prior publication is a plus
  • Java coding capabilities with experience in J2EE framework such as Core Java, Spring, EJB, JDBC, JMS, and/or Struts
  • Frameworks: Horovord, Tensorflow 2.0, Kubeflow, AWS Sagemaker, Language modelling frameworks (eg: HuggingFace)
  • 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

Central Business Solutions, Inc,
37600 Central Ct.
Suite #214
Newark, CA 94560.
Central Business Solutions, Inc(A Certified Minority Owned Organization)
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Central Business Solutions, Inc
37600 Central Court Suite 214 Newark CA, 94560
Phone: (833)247-8800 Fax: (510)-740-3677
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