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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML engineering, including the design, development, and deployment of production-ready models and applications. Proficient in leveraging open-source and proprietary AI/ML technologies while ensuring compliance with security requirements in classified environments.
Highest-signal resume keywords
AI/ML EngineeringGenerative AI/LLMsNatural Language Processing (NLP)PythonAWS Cloud Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ScienceModel OptimizationContainerized ApplicationsAgile MethodologiesDevSecOps CI/CDRetrieval-Augmented Generation (RAG)Neural NetworksAutomated Data-ProcessingArchitectural Design
Soft Skills
Analytical SkillsCommunication Skills
Tools & Technologies
TensorFlowKerasScikit-learnNumPyPostgreSQLAnaconda
Certifications & Qualifications
Active TS/SCI Clearance with CI Polygraph
Industry Keywords
AI Implementation StrategyProduction-Ready ModelsSecure EnvironmentsData ArchitecturesImpact Level 6 (IL6)
Tech Stack
Tools & technologiesAWSCloudKerasNumpyPostgresPythonScikit-LearnTensorflowTypeScript
About the role
Key responsibilities & impact- Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and AI implementation strategy.
- Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments.
- Apply machine learning techniques to support retrieval augmented generation.
- Present results to diverse audiences in presentation or report form.
- Support architectural leadership, technical support, and advisement services to ensure system technologies are integrated and meet appropriate security requirements.
- Communicate technical findings, architectural recommendations, and project progress to technical and nontechnical stakeholders.
Requirements
What you’ll need- Minimum of 6 years of relevant experience in AI/ML engineering, data science, machine learning, or a related technical discipline.
- Bachelor's or Master's degree in a relevant field, or equivalent professional experience.
- Active TS/SCI clearance with CI polygraph.
- Extensive experience leveraging open-source AI/ML models, with the ability to evaluate and justify the use of proprietary models when appropriate.
- Strong hands-on experience designing, building, training, integrating, deploying, and maintaining AI/ML models and production applications.
- Experience developing agentic AI systems, including AI agents, orchestration workflows, and automated data-processing capabilities.
- Expert-level proficiency in at least two of: Generative AI/LLMs, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or neural networks.
- At least 6 years of experience with two or more of: Python, R, Anaconda, NumPy, TensorFlow, Keras, Scikit-learn, or PostgreSQL.
- At least 6 years of experience designing, implementing, and maintaining data architectures and services supporting AI/ML solutions, including model optimization, evaluation, and maintenance through Agile user stories and DevSecOps CI/CD pipelines.
- Expert-level experience designing, developing, and deploying AI/ML solutions in classified AWS cloud environments at Impact Level 6 (IL6) or higher.
- Strong analytical skills, including assessing program and system performance, identifying manual processes, and developing algorithms or automation solutions to improve efficiency.
- Strong experience designing, developing, deploying, and maintaining containerized AI/ML applications.
- Ability to work primarily onsite across designated DC Metro locations, including Tyson's Corner and Reston, VA, with occasional customer-site visits.
- Required to verify identity and eligibility to work in the United States upon hire.
Benefits
Comp & perks- Performance-based bonuses
- Company-paid training and/or certifications
- Referral bonuses
- Health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) and holidays
- Parental Leave and dependent care
- Flexible work arrangements
- Professional development opportunities
- Employee assistance and wellness programs