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General Dynamics Information Technology · 8 hours ago

AI/ML Engineer (Tactical Networks - CANES) | Active Secret clearance

San Diego, CA

Full-time

Onsite

Entry, Mid Level

$111K/yr - $150K/yr

2+ years exp

General Dynamics Information Technology is a global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government. They are seeking an AI/ML Engineer to transform data into decisive advantage by designing, deploying, and sustaining machine learning models for Navy tactical networks.

Artificial Intelligence (AI)Cloud ComputingConsultingCyber SecurityInformation Technology

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Design and implement ML solutions for network assurance and cyber defense: anomaly detection, fault prediction, QoS optimization, capacity planning, and automated triage across ashore/afloat/subsurface/airborne domains

Build secure data pipelines (ETL/ELT) from CANES telemetry, logs, and performance counters; develop features for time-series, graph, and NLP use cases; enforce data governance and labeling quality

Operationalize models with MLOps: containerize (Docker), orchestrate (Kubernetes/Openshift), version (MLflow/DVC), and automate CI/CD (GitLab/Jenkins) for model build/test/deploy in disconnected and low-bandwidth scenarios

Optimize for edge inference using ONNX/TensorRT and CPU/GPU acceleration; implement drift monitoring, retraining triggers, A/B or canary deployments, and model explainability for operator trust

Integrate analytics with enterprise tooling (e.g., REST/gRPC services, message buses, dashboards such as Grafana/Splunk) and with program configuration management (CMPro) and issue workflows (Jira/Confluence)

Align solutions to Risk Management Framework (RMF) and DISA STIGs; produce artifacts (e.g., security design, data flows, test plans) supporting IATT/ATO packages in Enterprise Mission Assurance Support Service (eMASS) in coordination with IA teams

Support Developmental Test & Evaluation (DT&E), Test Readiness Reviews (TRRs), and lab events in NIWC Pacific facilities; collect test data, analyze results, and author technical reports/white papers

Mentor engineers and analysts on ML best practices; contribute to Systems Engineering Plans (SEPs) and DoD Architecture Framework (DoDAF) views related to data/analytics services

Qualification

Artificial Intelligence (AI)Machine Learning (ML)MLOpsPythonSQL/NoSQLCybersecurity processesDockerKubernetesGitLabGrafanaJiraConfluence

Required

Security Clearance: Active Secret clearance

Experience: 2+ years applying AI/ML to large-scale or mission systems (time-series/graph/NLP), including production deployments and lifecycle sustainment

2+ years MLOps (containerization, orchestration, CI/CD, model/version management, monitoring) and secure software practices

Hands-on data engineering with SQL/NoSQL, stream processing (e.g., Kafka), and Python-based ML stacks (PyTorch or TensorFlow, scikit-learn, pandas)

Demonstrated delivery in constrained/edge environments (performance tuning, model compression/quantization, resilience to disconnection)

Familiarity with DoD cybersecurity processes (RMF, STIGs) and documentation practices

Education: BS in Computer Science, Electrical/Computer Engineering, Data Science, Applied Mathematics, or related field (equivalent experience may substitute per GDIT policy)

US Citizenship Required

Preferred

Prior support to PMW-160/NIWC Pacific or CANES-like programs; understanding of Navy network operations, GPON, QoS, and transport/optical basics

Certifications: Security+ CE (or higher 8140 baseline if privileged access assigned), CKA/CKAD, AWS/Azure/GCP ML Specialty, Splunk Core/Enterprise

Experience with graph ML (PyG/NetworkX), time-series platforms (Kats, Prophet), and XAI (SHAP/LIME)

Integration with observability stacks (Prometheus/Grafana), IaC (Ansible/Terraform), and secure SBOM/supply-chain controls

Participation in CCRI prep, DT/OT data analysis, and performance test harness development

Benefits

Comprehensive benefits and wellness packages

401K with company match

Full flex work weeks

Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave

Short and long-term disability benefits

Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance

Company

General Dynamics Information Technology

Glassdoor3.9

General Dynamics Information Technology is an IT consulting company that specializes in cyber security, AI, and quantum computing. It is a sub-organization of General Dynamics.

Founded in 1999

Falls Church, Virginia, USA

10001+ employees