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:

    J36993

  • Specialized Area:

    Python

  • Job Title:

    Machine Learning Software Engineer

  • Location:

    Columbus,OH

  • Duration:

    10 Months

  • Domain Exposure:

    Healthcare, Manufacturing, Insurance, Education, IT/Software, Media/ Entertainment

  • 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:

As a Machine Learning Software Engineer you will dive head-first into creating innovative solutions.

You’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

You’ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what’s being developed.

And best of all, you’ll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.

Responsibilities:
  • Beginner level understanding of the application development lifecycle, and one or more general modern programming languages (Python, Java, C#, Dot Net Core, Docker, and Kuberetes).
  • Awareness of developmental toolset to design, develop, test, deploy, maintain and improve software.
  • In touch with industry wide technology trends and best practices.
  • Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture.
  • Understanding of software skills such as business analysis, development, maintenance and software improvement.
  • Ability to Implement machine learning models for document imaging problems.
  • Ability to evaluate model performance and monitor the training process.
  • Adapt existing models to better handle problems specific to our domain.
  • Integrate models into our production pipeline for real-time processing.
  • Good understanding of Statistics.
  • Knowledge in machine learning and data mining techniques – Feature engineering, regression, classification, clustering, time series analysis etc.
  • Excellent Communication and presentation skills.
  • Ability to work in fast paced and dynamic environment.

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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