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Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Engineer

  • Location:

    Newyork,NY

  • Duration:

    8 Months

  • Domain Exposure:

    Healthcare, Retail, 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

Do you get excited by connecting with customers through great product? Does the thought of changing the way people plan across businesses of all sizes excite you? Would you like to help customers run their business more effectively by giving them a powerful but user friendly planning tool augmented by Machine Learning?

Adaptive Insights Business Planning Cloud (a Workday company) is looking for a Machine Learning Infrastructure Engineer for our Intelligent Planning initiative. We would love to hear from you if you are passionate about using machine learning to change the way companies across the world plan and analyze their business.

Responsibilities:

  • As a core member of Data Science Team , you will build, evolve, and scale state-of-the-art machine learning system infrastructure powering Adaptive Insights’s data and AI platform.

  • You will own and operate deep learning training systems, models serving systems, and dataset management pipelines.

  • You'll be a key engineer contributing to the design, development and operation of the large-scale infrastructure systems.

  • You’ll work closely with the broader infrastructure and DEV OPS to team build a new scalable ML Infrastructure.

  • You'll work with our deep learning researchers and backend engineers to implement scalable solutions to solve complex problems. 


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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