W-2 Jobs Portal

  • 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:


  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning Engineer

  • Location:


  • Duration:

    10 Months

  • Domain Exposure:

    Manufacturing, Retail, 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)

  • Bench Recruiter:

    vanessa lynch

Job Description

Job Summary 


The Machine Learning Engineer (MLE) designs and develops the platform and frameworks that facilitate automated data-driven decision-making. This team member collaborates with Data Scientists to design tools to train machine learning models using data from across the enterprise and deploy machine learning services at various decision points across the business process. The MLE participates in the acquisition of data and the development of the modeling pipeline and builds the necessary integrations to deliver decisions at the right time. This person builds tools for monitoring the performance of machine learning applications and develops the necessary failsafe procedures that ensure the delivery of the most optimal decisions. The MLE develops tools that allow interactive exploration of machine learning models and runs simulations of various business scenarios. MLEs are part of a community that participates in code reviews, design reviews, extracting best practices and researching new methods. 



  • Work with Data Scientists and Business Analysts to frame problems within a business context
  • Build data pipelines that pull data from various sources
  • Collaborate with Data Scientists to develop algorithms and tools for training and running simulations
  • Develop services that host the trained models and work with other application teams to integrate them into business processes
  • Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect domain expert feedback
  • Participate in code reviews to ensure code quality and share best practices and experiences with the team

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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