Machine Learning Engineer
AI summary of the role
This role is for an AI/ML Engineer to develop and deploy anomaly detection systems for the Department of Defense Air Force Information Network, working with 1TB+ daily log data.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Architect, build, and deploy high-performance ML models with 1TB+ daily ingestion across heterogeneous data sources into production.
- Lead data preparation, model development, evaluation, monitoring, drift detection, and continuous retraining.
- Develop and implement a hybrid GNN and BiLSTM architecture on a continuously updated heterogeneous network graph.
- Mentor junior software developers and provide technical guidance.
What you’ll bring
- Active TS/SCI security clearance.
- DOD Directive 8140.01 certification (Security+ or equivalent).
- 5+ years in Machine Learning focused on deploying models into production.
- Deep knowledge of ML frameworks such as PyTorch or TensorFlow.
Technologies
PyTorch · TensorFlow · Spark MLlib · Scikit-learn · XGBoost · Keras · Hugging Face · PyTorch Geometric · MLflow · SHAP · GNNExplainer · Elasticsearch
About CACI
Delivers cleared mission technology, cyber, IT modernization, and engineering expertise for U.S. defense, intelligence, and federal civilian agencies.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Job Title: Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: The 35th Intelligence Squadron seeks a motivated AI/ML Engineer to develop and deploy complex Artificial Intelligence systems defending the Department of Defense Air Force Information Network (AFIN). The role requires anomaly detection algorithms for identifying and isolating malicious threats using supervised and unsupervised learning, Graph Neural Networks, and Deep Learning models. You will drive our cyber threat intelligence and detection mission by providing expert leadership and mentorship in advanced AI/ML solutions, augmenting cyber threat analysts triaging 1TB+ of boundary device logs daily to produce defensible intelligence reports with real mission
More from the job description
Job Title: Data Scientist Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: The 35th Intelligence Squadron seeks a motivated AI/ML Engineer to develop and deploy complex Artificial Intelligence systems defending the Department of Defense Air Force Information Network (AFIN). The role requires anomaly detection algorithms for identifying and isolating malicious threats using supervised and unsupervised learning, Graph Neural Networks, and Deep Learning models. You will drive our cyber threat intelligence and detection mission by providing expert leadership and mentorship in advanced AI/ML solutions, augmenting cyber threat analysts triaging 1TB+ of boundary device logs daily to produce defensible intelligence reports with real mission consequences. You will provide technical direction for the design, implementation, testing, deployment, and operation of the 35 IS's cyber threat detection methods and enabling systems. Responsibilities: Design & Deploy: Architect, build, and deploy high-performance ML models with 1TB+ daily ingestion across heterogeneous data sources into production, ensuring scalability, reliability, and low latency. Drive the ML Lifecycle: Lead data preparation, model development, evaluation, monitoring, d [... source excerpt omitted ...] exists. Apply that experience to real constraints: classification boundaries, data that cannot be shared with vendors, upstream pipeline failures, and out of order log delivery. Qualifications: Required: Clearance: Active TS/SCI security clearance. Certification: DOD Directive 8140.01 (Security+ or equivalent). Experience: 5+ years in Machine Learning focused on deploying models into production. Education: Master's in Data Science, AI, or related quantitative field preferred. Technical Skills: Deep knowledge of ML frameworks such as PyTorch or TensorFlow. Programming: Strong Python. ML libraries including Spark MLlib, Scikit-learn, XGBoost, Keras, Hugging Face, PyTorch Geometr [... source excerpt omitted ...] re of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our l
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