Leidos
Overview
Position: AI/ML Engineer. Leidos National Security Sector is seeking an AI/ML Engineer to join the Air Force Technical Application Center (AFTAC) US National Data Center team. This role supports the integration of advanced AI/ML algorithms into legacy nuclear monitoring systems, contributing to national security through real-time geophysical data processing. Responsibilities
Design, develop, and integrate AI/ML algorithms into mission-critical software systems Build and curate datasets for training, tuning, and testing models Evaluate algorithm performance in real-time geophysical environments Collaborate with government and contractor teams across software and geophysical domains Basic Qualifications
Bachelor’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics, or related field, with 2+ years of relevant experience. Additional experience, training, or certifications may substitute for degree U.S. citizen; Currently possessing an Active DoD Secret clearance and eligibility for Top Secret/SCI Proficiency in Python and shell scripting in Linux/Unix environments Strong analytical, scientific, and problem-solving skills Experience building datasets and evaluating AI/ML model performance Preferred Qualifications
Knowledge of digital signal processing, time-series analysis, Fourier/spectral analysis, and seismic event classification Experience with seismic or geophysical data processing Familiarity with deep learning, neural networks, classification, and ensemble methods Experience with relational databases (e.g., Oracle/SQL) Exposure to Flask, C/C++, and version control tools (e.g., Git, ClearCase) Master’s degree in Machine Learning, Data Science, Geophysics, or related field and/or 4+ years of experience
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Position: AI/ML Engineer. Leidos National Security Sector is seeking an AI/ML Engineer to join the Air Force Technical Application Center (AFTAC) US National Data Center team. This role supports the integration of advanced AI/ML algorithms into legacy nuclear monitoring systems, contributing to national security through real-time geophysical data processing. Responsibilities
Design, develop, and integrate AI/ML algorithms into mission-critical software systems Build and curate datasets for training, tuning, and testing models Evaluate algorithm performance in real-time geophysical environments Collaborate with government and contractor teams across software and geophysical domains Basic Qualifications
Bachelor’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Physics, or related field, with 2+ years of relevant experience. Additional experience, training, or certifications may substitute for degree U.S. citizen; Currently possessing an Active DoD Secret clearance and eligibility for Top Secret/SCI Proficiency in Python and shell scripting in Linux/Unix environments Strong analytical, scientific, and problem-solving skills Experience building datasets and evaluating AI/ML model performance Preferred Qualifications
Knowledge of digital signal processing, time-series analysis, Fourier/spectral analysis, and seismic event classification Experience with seismic or geophysical data processing Familiarity with deep learning, neural networks, classification, and ensemble methods Experience with relational databases (e.g., Oracle/SQL) Exposure to Flask, C/C++, and version control tools (e.g., Git, ClearCase) Master’s degree in Machine Learning, Data Science, Geophysics, or related field and/or 4+ years of experience
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