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Principal AI Machine Learning Developer

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
  • Lead the creation, prototyping, and operationalization of AI/ML proofs of concept for Intelligence Community mission use cases
  • Rapidly design, build, and deploy high-fidelity visual AI/ML prototypes involving GenAI/LLMs, NLP, computer vision, and predictive analytics
  • Collaborate with program leads and stakeholders to align prototypes with user workflows and technical requirements
  • Transition sandboxed proofs of concept into secure multi-tenant cloud environments and air-gapped networks
  • Build automated CI/CD pipelines and containerize applications
  • Ensure compliance with federal software assurance and security standards
  • Divide technical execution across multiple active programs and overlapping deliverable timelines
  • Coordinate schedules with multiple Project Managers to meet high-priority milestones
  • Conduct live technical demonstrations for senior Intelligence Community customers
  • Maintain clean, reusable codebases and architectural documentation
Requirements
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical discipline with 9+ years of relevant experience; OR Master’s degree with 7 years of relevant experience
  • Candidates must be U.S. Citizens
  • Active TS/SCI clearance, or ability to immediately upgrade from TS if SCI was held within the last 3 years
  • Proficiency in Python and software engineering practices
  • Version control with Git
  • Unit testing
  • Clean code architectures
  • Hands-on experience developing ML models using PyTorch or Tensor Flow
  • Experience handling structured and unstructured data
  • Preferred: experience deploying AI/ML models in secure, multi-tenant cloud environments or air-gapped networks
  • Preferred: familiarity with MLOps and orchestration platforms such as MLflow, Kubeflow, Apache Airflow, or Triton Inference Server
  • Preferred: experience using Streamlit or Gradio to build interactive demonstration interfaces
  • Preferred: familiarity with Intelligence Community missions
Core Competencies

Demonstrates expertise in AI/ML model development and deployment, particularly in secure environments, while ensuring compliance with federal standards. Proficient in Python programming, CI/CD pipeline automation, and collaboration with stakeholders to align technical solutions with user needs.

Highest-signal resume keywords
  • AI/ML Model Development
  • Python Programming
  • CI/CD Pipeline Automation
  • Active TS/SCI Clearance
  • Cloud Environment Deployment
Hard Skills
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Predictive Analytics
  • Version Control with Git
  • Unit Testing
  • Clean Code Architectures
  • Py Torch
  • Tensor Flow
  • Data Handling
Soft Skills
  • Collaboration
  • Technical Demonstration
  • Project Coordination
Industry Keywords
  • Intelligence Community
  • Federal Software Assurance
  • Security Standards
  • Multi-Tenant Cloud Environments
  • Air-Gapped Networks
Tools & Technologies
  • MLflow
  • Kubeflow
  • Apache Airflow
  • Triton Inference Server
  • Streamlit
  • Gradio
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