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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:

    J36993

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Developer

  • Location:

    Pontiac,MI

  • Duration:

    10 Months

  • Domain Exposure:

    Manufacturing, Telecom, Education, IT/Software

  • 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)




Job Description

Job Description :

Machine Learning Developera has to provide to develop document recognition applications and performance tuning & validation of trained models. This is a permanent hire opportunity.

Responsibilities:

  • Use machine learning techniques to develop document recognition applications
  • Create utilities to prepare and normalize data
  • Work with the fellow data scientists and machine learning developers to establish standards
  • Prepare and maintain data used to create trained models, and the models themselves
  • Performance tuning of the trained models
  • Validation of trained models

Experience:

  • Professional or research experience with software development, algorithms, modeling, or machine learning
  • Computer-related degree or equivalent experience
  • OOP coding skills
  • Experience with a machine learning platform such as: TensorFlow, Caffe, Keras, or Encog
  • Experience working with large data sets, both structured and unstructured
  • Solid understanding of machine learning techniques and algorithms, such as k-means, k-NN, - Naive Bayes, SVM, Decision Forests, HMM, Neural nets, Deep learning etc.
  • Experience creating workflows and rule engines
  • Awareness of design patterns such as repository, factory, and composition
  • Awareness of principles such as SOLID, YAGNI, and DRY
  • Onsite, full-time attendance
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
 

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Equal Opportunity Employer

ROBOTICS 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. ROBOTICS 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 ROBOTICS 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