Secure MLOps Engineer for Classified Environments

Gallatin; El Segundo (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Gallatin is building systems that move ML models from notebooks to planners in high-security environments. You will own training, deployment, evaluation, and telemetry for production models, including air-gapped or restricted-network contexts.

The team works across retrieval-grounded systems, document extraction, symbol recognition, and LLM agent platforms, with emphasis on reproducibility, CI/CD, and IaC. You'll shape how we ship reliable AI in defense and logistics applications.

Qualifications

• Experience deploying and operating production software in IL5 or IL6 environments, including disconnected or restricted-network deployments.
• Shipped an LLM or ML system to production and maintained it.
• Built evaluation and monitoring for ML systems.

Responsibilities

• Own model training, fine-tuning, and batch inference infrastructure across AWS (SageMaker, EKS) and on-premises GPU hardware.
• Stand up and tune LLM inference serving: vLLM-class stacks, quantization, continuous batching, KV-cache and throughput sizing.
• Build CI/CD for models and pipelines: versioned datasets, a model registry, promotion gates, and rollback that actually works under pressure.
• Own infrastructure as code, containerization, and GitOps deployment across environments ranging from a dev cluster to a disconnected enclave.
• Make reproducibility a hard requirement across all deployments.

Skills

MLOps

Python

Kubernetes

Containerization

AWS SageMaker

EKS

GPU infra

IL5/IL6

Production software

Education

CS/Engineering degree

Tools

Palantir Foundry

PostgreSQL/pgvector

NATS/JetStream

ArgoCD

Job description

Gallatin is building systems that move ML models from notebooks to planners in high-security environments. You will own training, deployment, evaluation, and telemetry for production models, including air-gapped or restricted-network contexts.

The team works across retrieval-grounded systems, document extraction, symbol recognition, and LLM agent platforms, with emphasis on reproducibility, CI/CD, and IaC. You'll shape how we ship reliable AI in defense and logistics applications.