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:

    Machine learning

  • Job Title:

    Machine learning Engineer

  • Location:

    Mclean,VA

  • Duration:

    10 Months

  • Domain Exposure:

    Utilities/ Energy, Government, Telecom, 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

Responsibilities:

Cloud (AWS/ Google Cloud) with data science/machine learning emphasis including technology implementations

Develop both deployment architecture and scripts for automated system deployment (AWS CFT (Cloud Formation Templates) & AWS SAM) in AWS

Design and implement fast and efficient heterogeneous data science solutions featuring highly elastic and available technologies using open source technologies in Cloud (AWS/Google Cloud)

Ability to develop Conversational AI (AWS Lex, Polly) and Alexa for business models

Deep expertise in AWS DynamoDB & Elasticsearch

Comfortable with machine learning, deep learning and big data (EMR) paradigms

Automate the provisioning of environments like Kubernetes and ECS using tools like Jenkins.

Create Docker based containers for local and cloud-based development and creation of images for reuse Design and develop automation workflows, performing unit tests and conducting reviews

Experience migrating on-site solutions to cloud-based offerings, such as AWS/Google Cloud

Develop scripts and glue code to integrate multiple software components

Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.

Investigate the impact of new technologies, applications, and data sources on the future secondary mortgage business

Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions.

Work in Agile environment Basic Qualifications

Bachelor's degree in Mathematics, Statistics, Computer Science

5+ years of experience working with AWS

4+ years' experience with supporting EMR/Machine learning/Deep Learning in AWS

AWS Certifications Preferred


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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