Job description

Location: Washington Metropolitan Area (WMA) / On-site Sponsor Facility Clearance Level: Top Secret / SCI with Full-Scope Polygraph Job Type: Full-Time About the Role: Praescient Analytics is hiring an AI/ML Engineer to lead the design, evaluation, deployment, and optimization of cutting-edge AI models in support of an Intelligence Community agency. In this role, you will advance the adoption of advanced foundational and frontier models (including LLMs and Computer Vision) to enhance data-driven mission pursuits. Responsibilities: • Design, develop, test, evaluate, and deploy production-ready AI/ML models and ensembles (including Generative AI, Computer Vision, NLP, classification, and prediction models). • Transition experimental AI research prototypes into scalable cloud computing environments with robust ETL pipelines and model maintenance. • Perform model tuning, benchmarking, experimentation, validation, and ethical AI evaluations. • Preprocess and clean large-scale unstructured datasets (such as text and imagery) to create training and evaluation datasets. • Ensure model explainability, interpretability, transparency, and fairness across deployed capabilities. • Collaborate with mission partners and analysts to execute experimental verification and document findings in publications, briefings, and code repositories. Minimum Qualifications: • Education: Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, or a technical field. • AI/ML Programming: Minimum of 5 years of experience utilizing Python or R specifically for AI/ML development. • Cloud Architecture: Minimum of 5 years of cloud computing experience involving cloud-based AI/ML model execution and deployment. • Model Development: Minimum of 5 years of experience developing, tuning, validating, benchmarking, and maintaining AI/ML models. • Clearance: Must be a U.S. citizen with an active TS/SCI with Polygraph Desired Qualifications: • Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or Keras. • Experience with AI/ML explainability, interpretability techniques, and verification test benches. • Familiarity with web frameworks (Flask) and visualization tools (Tableau). • Expertise using GitHub for collaborative code management and version control. • Direct experience with Sponsor enterprise architectures, ICD security controls, and multi-cloud environments. *The projected compensation range for this position is $120,000.00 to $240,000.00 (annualized USD). What You Can Expect From Us: • Real opportunity for career growth in an environment where your achievements will be celebrated • Constant collaboration with numerous teams to ensure client success • A team that respects and embraces your ideas and expertise • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain • A workplace dedicated to supporting and bettering public safety and government agencies Benefits: • Very competitive salary based on qualifications and experience • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles) • 401(k) with company match • Travel & performance incentives • 3 weeks paid time off (plus Federal Holidays) • $5K annual training allowance Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection. Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. US Citizenship Required Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

Requirements

Must-haves

Location: Washington Metropolitan Area (WMA) / On-site Sponsor Facility
Clearance Level: Top Secret / SCI with Full-Scope Polygraph
Job Type: Full-Time
Design, develop, test, evaluate, and deploy production-ready AI/ML models and ensembles (including Generative AI, Computer Vision, NLP, classification, and prediction models).
Transition experimental AI research prototypes into scalable cloud computing environments with robust ETL pipelines and model maintenance.
Perform model tuning, benchmarking, experimentation, validation, and ethical AI evaluations.
Preprocess and clean large-scale unstructured datasets (such as text and imagery) to create training and evaluation datasets.
Ensure model explainability, interpretability, transparency, and fairness across deployed capabilities.
Collaborate with mission partners and analysts to execute experimental verification and document findings in publications, briefings, and code repositories.
Education: Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, or a technical field.
AI/ML Programming: Minimum of 5 years of experience utilizing Python or R specifically for AI/ML development.
Cloud Architecture: Minimum of 5 years of cloud computing experience involving cloud-based AI/ML model execution and deployment.
Model Development: Minimum of 5 years of experience developing, tuning, validating, benchmarking, and maintaining AI/ML models.
Clearance: Must be a U.S. citizen with an active TS/SCI with Polygraph
Real opportunity for career growth in an environment where your achievements will be celebrated
Constant collaboration with numerous teams to ensure client success
A team that respects and embraces your ideas and expertise
Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain

Nice-to-haves

Proficiency in deep learning frameworks such as PyTorch, TensorFlow, or Keras.
Experience with AI/ML explainability, interpretability techniques, and verification test benches.
Familiarity with web frameworks (Flask) and visualization tools (Tableau).
Expertise using GitHub for collaborative code management and version control.
Direct experience with Sponsor enterprise architectures, ICD security controls, and multi-cloud environments.
The projected compensation range for this position is $120,000.00 to $240,000.00 (annualized USD).

Application prep

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Keywords to mirror

aimlpythonmachine learning

Platform: applicantstack
Effort: medium

Benefits

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Vision

401(K)

Paid Time Off