Principal AI Machine Learning Developer

SAIC

. Rapidly design, build, and deploy high-fidelity visual AI/ML prototypes, including GenAI/LLMs, NLP, computer vision, and predictive analytics .

Posted 10/21/2026full-timeChantilly • Virginia • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI/ML prototypes, with a strong focus on Python programming, cloud environments, and compliance with security standards. Proven ability to collaborate with stakeholders and manage multiple projects effectively.

Highest-signal resume keywords

Python ProficiencyAI/ML Model DevelopmentCloud Environment DeploymentActive TSC ClearanceCI/CD Pipeline Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningNatural Language ProcessingComputer VisionPredictive AnalyticsGitUnit TestingClean Code ArchitecturesPyTorchTensorFlowData Handling

Soft Skills

CollaborationProject CoordinationTechnical Demonstration

Tools & Technologies

AWS C2SAzure SecretMLflowKubeflowApache AirflowTriton Inference ServerStreamlitGradio

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Data Science or EngineeringActive TSC Clearance

Industry Keywords

Intelligence CommunitySoftware AssuranceSecurity StandardsMulti-Tenant Cloud EnvironmentsAir-Gapped Networks

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudPythonPyTorchTensorflowTypeScript

About the role

Key responsibilities & impact

Rapidly design, build, and deploy high-fidelity visual AI/ML prototypes, including GenAI/LLMs, NLP, computer vision, and predictive analytics
Collaborate with program leads and stakeholders to align prototypes with real-world user workflows and emerging technical requirements
Transition sandboxed proofs of concept into secure multi-tenant cloud environments, including AWS C2S and Azure Secret, and air-gapped networks
Build automated CI/CD pipelines, containerize applications, and ensure compliance with federal software assurance and security standards
Divide technical execution across multiple active programs with 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

What you’ll need

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 TSC Clearance with the ability to get a TS/SCI
Proficiency in Python and software engineering practices, including Git, unit testing, and clean code architectures
Hands-on experience developing ML models using PyTorch or TensorFlow
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 functional, interactive demonstration interfaces
Preferred: Familiarity with Intelligence Community missions