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  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36904

  • Posted Date:

    11/27/2019

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine learning Engineer

  • Location:

    Westlake Village,CA

  • Duration:

    9 Months

  • Domain Exposure:

    Healthcare, Pharmaceuticals, Manufacturing, Insurance, Retail

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)

  • Bench Recruiter:

    vanessa Lynch




Job Description

Qualifications:

  • 5+ years of professional experience as a data scientist.
  • At least two years of experience in designing and developing enterprise-scale NLP solutions in two or more of - Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing.
  • Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP.
  • Strong knowledge and working experience with a strong understanding of NLP/ML and algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics.
  • At least 3 years of programming experience in one or more of the following - Python, R, Scala.
  • Preferably in Python and Jupyter/IPython Notebook.
  • Experience in setting up supervised and unsupervised learning ML/NLP models, including data cleaning, data analytics, feature creation, model selection and ensemble methods, performance metrics, and visualization.
  • 1 to 2 years experience in ML/NLP development pipelines of large data sets, both structured and unstructured.
  • 1 to 2 years experience building Machine Learning and NLP solutions over open-source platforms such as SciKit-Learn, Tensorflow, SparkML, Torch, Caffe, H2O.
  • Highly motivated, proactive, and a self-starter; strong sense of ownership and ability to create and execute assignments.

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Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract


Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract