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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine learning

  • Location:

    Weehawken,NJ

  • Duration:

    12 Months

  • Domain Exposure:

    Utilities/ Energy, Telecom, Oil & Gas

  • 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, 1099(C2C)




Job Description

Job Description

  • Engineering degree with 6-8 years of data engineering experience, in developing and delivering big-data and machine learning platforms for global firms
  • hands on experience in setting up the environment for a big data platform from scratch
  • experience with containerized applications and cloud deployment
  • technical and people leadership to gain trust and respect of engineering team
  • excellent working knowledge of python, java and Scala
  • working knowledge of Spark and SparkSQL
  • experience with Kubentics and NoSQL data stores such as Cassandra
  • familiarity with Azure managed services will be a plus

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Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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