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Machine Learning Operations (MLOps) Engineer

gallatinEl Segundo, CAEngineering
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Salary
$80K – $210K
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
17 Sept 2026
Status
Open · checked 7d ago

About this role

Gallatin seeks a Machine Learning Operations (MLOps) Engineer for an on-site position in El Segundo, California, to design and manage AI infrastructure for logistics missions. This role suits an infrastructure professional with a background in production systems who thrives on managing model deployments across diverse environments.

Role Overview

Gallatin is rebuilding logistics infrastructure for national security missions and allied partners by developing AI systems that shape logistics decisions. The Machine Learning Operations Engineer will own the transition of machine learning models from development notebooks into production environments, ranging from cloud platforms to disconnected, air-gapped hardware. This position bridges model training and live operations through robust infrastructure, automated release pipelines, and thorough evaluation frameworks.

Key Responsibilities

Manage model training, fine-tuning, and batch inference infrastructure across AWS environments and on-premises GPU hardware.
Build continuous integration and deployment pipelines for models, including dataset versioning, model registries, and reliable rollback procedures.
Construct and oversee evaluation harnesses, regression suites, and LLM-as-judge pipelines to measure performance and prevent silent failures.
Operate machine learning systems within high-security environments, supporting authorization and compliance frameworks.
Oversee data ingestion, embedding and feature pipelines, and incremental indexing to maintain retrieval freshness.

Requirements

Five or more years of professional experience in MLOps, ML platform, or infrastructure engineering.
Advanced Python programming abilities and practical production codebase experience.
Extensive familiarity with Kubernetes, containerization, and infrastructure as code methodologies.
Practical background using AWS or equivalent cloud machine learning and infrastructure services.
Hands-on expertise with GPU scheduling, memory allocation, utilization, and cost management.
Experience deploying and maintaining production software within IL5 or IL6 restricted-network enclaves.

Nice to Have

Existing U.S. government security clearance.
Knowledge of large language model serving and inference optimization techniques such as quantization and prefix caching.
Practical deployment background with retrieval-grounded systems, edge computing, or on-premises infrastructure.
Familiarity with defense, intelligence, or other heavily regulated environments.
Experience with Palantir Foundry, PostgreSQL with pgvector, NATS/JetStream, or ArgoCD.
Formal education in computer science or a related engineering discipline.

Skills and Tools

Python
AWS
SageMaker
Amazon EKS
Kubernetes
Terraform or Infrastructure as Code
vLLM
Docker
PostgreSQL and pgvector
NATS/JetStream
ArgoCD
Palantir Foundry

Salary and Benefits

Base salary range from $80,000 to $210,000 with multiple ranges available.
Generous equity grants.
Comprehensive healthcare coverage.
401(k) retirement plan.
Unlimited paid time off.

About the Company

Gallatin builds advanced logistics infrastructure and artificial intelligence systems designed to support national security missions and allied partners. The organization focuses on creating decision advantage for critical operations by transforming data into actionable insights from the factory floor to tactical environments.

How to Apply

Interested candidates should visit the official company careers page to submit an application for this position.

Skills and tech stack

PythonAWSSageMakerEKSKubernetesvLLMTensorRT-LLMPostgreSQLpgvectorNATS/JetStreamArgoCDPalantir FoundryLLMAzureMLOpsFine-tuning

Questions candidates ask

Where is the position located?

The role is based in El Segundo, California.

How many years of experience are required?

The role requires five or more years of experience in MLOps, ML platform, or infrastructure engineering.

What is the salary range for this role?

The salary ranges from $80,000 to $210,000, supplemented by equity and benefits.

Are security clearances required?

A security clearance is preferred, and the position may require the ability to obtain and maintain a U.S. government security clearance for work in classified environments.

What cloud platforms are utilized?

The engineering work utilizes AWS services including SageMaker and Amazon EKS, alongside on-premises GPU hardware.

Ready to apply?

The application is on the official gallatin careers page.

Apply on company site