Job Description


Job Overview

  • Job ID:

    J37690

  • Job Title:

    Python Engineer - Python / Azure / DevOps

  • Location:

    Spring, TX

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • 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

Responsibilities:

  • Work with Houston based Data Science team to understand workflow requirements with respect to relevant technologies within a cloud environment
  • Design appropriate data model and storage solutions for the data relevant to business problems being solved; set up data ingestion & integration pipelines in the cloud
  • Design Azure-based workflows to enable Data Scientists to develop analytical capabilities, provide a robust testing and CI/CD capabilities, and are able to be quickly deployed as web applications into the cloud
  • Identify appropriate front end technologies that enable Data Science workflows to be used by others, and lead that development
  • Monitor the security of all cloud based assets

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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