Machine Learning (ML) Engineer

Seeking a Machine Learning Engineer in the EST time zone! We are seeking an ML Engineer who can scale/optimize/deploy code from models created by the Data Scientists team. We are seeking candidates that have deployed/productionized code for scaling efforts within our clients ML/AI/DS environment.

This position is 100% remote with 1-2 meetings per quarter at our clients Reston VA office. We are seeking candidates that reside within the EST timezone to make for easier travel.

Required Skills

-Education Level: Bachelor's Degree (In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.)
-Experience: 8 years of relevant work experience, with at least 3+ years as a Machine Learning Engineer scaling/optimizing/deploying of code post model built.
-Must have Python, Jenkins Pipeline (to promote/supply code)
-Must have AWS Ecosystem tools (SageMaker, Lamda, Glue, Aurorate are preferred tools)
-Ability to leverage a wide variety of data science tools and frameworks.
-Ability to support data exploration and data analysis tasks in support of analytics objectives.
-Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques

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Location

Telecommute

Openings

1

Anticipated Start Date

Monday, July 1, 2024

Job Type

Contract

Anticipated Duration

12 months+

Date Posted

Friday, June 7, 2024

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Elite Technical Services, Inc. participates in the E-Verify program to confirm the employment eligibility of all persons hired. This means that we will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Elite Technical Services, Inc. will not use E-Verify to pre-screen job applicants.

Elite Technical Services, Inc. is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.