Machine Learning Engineer with Security Clearance

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Job description

Applied Research Solutions is seeking a full-time Machine Learning Engineer located at Wright Patterson AFB, supporting the Air Force Institute of Technology (AFIT). Why Work with us? Applied Research Solutions (ARS) is respected as a world-class provider of technically integrated solutions as we deliver premier talent and technology across our focused markets for unparalleled, continuous mission support.Awarded a Best Places to Work nominee since 2020, ARS recognizes that without our career- driven, loyal professionals, we would not be able to deliver state-of-the-art results for our mission partners. We firmly believe that prioritizing our employees is of the upmost importance. We provide a culture where our employees are challenged to meet their career goals and aspirations, while still obtaining a work/life balance. ARS employees are motivated through our industry competitive benefits package, our awards and recognition program, and personalized attention from ARS Senior Managers. Responsibilities include: Work independently and with personnel to perform, interpret, and explain programming support, data analysis, data extrapolation, data visualization, apply machine learning (ML) approaches, and serve as a technical authority and consultant for existing and new research projects
Direct the design and construction of data sets from structured and unstructured data to enable analytical solutions
Create and provide feedback on ML studies by identifying assumptions, measuring effectiveness, and striving for explainability
Perform duties by utilizing available resources including but not limited toacademic journals, scholarly articles, and the Internet.Assist with proposal writing as needed. Document and present results to technical and non-technical audiences as appropriate
Work with multi-disciplinary groups to assist in additional programming tasks
Set well-defined and realistic goals.Display a high level of initiative and effort towards completing assignments in a timely manner.Work with minimal supervision and act responsibly
Efficiently manage and maintain large data sets
Position may require occasional travel to and collaboration with laboratories or other research-related locations
Other duties as assigned
Qualifications/ Technical Experience Requirements: Must be a US Citizen
Ability to obtain a Secret clearance
Strong Python abilities
2-3 years of experience with programming languages
1-2 years of experience with machine learning implementation and analysis (i.e.artificial intelligence, ML, data mining, deep learning, distributed computing, optimal heuristic search, stochastic modeling, probability modeling, data analytics)
Ability to independently program and debug codes
Strong communication abilities
Ability to work independently
1-2 years of experiencesolving research related challenges and implementing solutions
Desirable experience with:
text analysis and natural language processing
integrating software and mechanical systems
programming Raspberry Pi systems
utilizing structured or unstructured data for exploratory data analysis, classification, regression, and/or other types of statistical analysis
using data visualization (e.g., scripts, algorithms, predictive models, etc.) for exploratory comparative analysis utilizing visualization tools.
working with teams
with remote sensing
All positions at Applied Research Solutions are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans.

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