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SageCor Solutions

Artificial Intelligence Machine Learning 2 (FST - 141)

SageCor Solutions Annapolis Junction, Maryland, United States

IT Services and IT Consulting · 11-50 employees

Sep 30
machine-learning Senior (5-10 yrs) Full-time United States
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About the role

The role involves providing engineering services and full lifecycle system engineering for high performance computing and large data analytics projects. You will apply machine learning expertise to complex programs and contracts.

What they look for

Machine Learning Python Java C R Pytorch TensorFlow High Performance Computing Data Analytics System Engineering

Requirements

Candidates must have at least five years of applied machine learning experience and a Master's or Ph.D. in a relevant field. An active TS/SCI with Polygraph security clearance is strictly required.

Full description

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.  

Active TS/SCI w/ Polygraph required.

Required Experience:

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Required Skills:

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

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