# Machine Learning Operations (MLOps) Engineer

About Gallatin At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made - not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage. What You'll Do In this role, you will build the systems that move a model out of a notebook and into the hands of a planner. Sometimes, that means deploying to an air-gapped rack in a tent instead of a VPC. You will own the path from training run to deployed capability: the infrastructure it runs on, the release process that ships it, the evaluation harness that proves it works, and the telemetry that tells us when it stops working. Our AI/ML team works across retrieval-grounded systems for doctrine and logistics data, document and feature extraction, military symbol recognition, optimization and movement models, and an LLM agent platform. This role underpins that work: building the infrastructure, release processes, and evaluation systems that make it shippable and keep it honest in production. You will have plenty of room to

- **Id**: 1016571
- **Url**: <https://alion.io/job/gallatin-machine-learning-operations-mlops-engineer>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: El Segundo, United States, San Francisco, United States, Austin, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: yes
- **Status**: live
- **First seen at**: 2026-09-17T20:35:39Z
- **Employer posted date**: 2026-09-17
- **Last verified at**: 2026-11-08T13:49:51Z
- **Board verified**: yes
- **Days open**: 51
- **Description format**: text
- **Description chars**: 7869
- **Description truncated**: no
- **Benefits**: 401k plan, Equity, Unlimited PTO
- **Relocation offered**: no
- **Industries**: Artificial Intelligence, Military, Logistics

## Company

- **Id**: 673248
- **Name**: Gallatin
- **Domain**: gallatin.ai
- **Url**: <https://alion.io/company/gallatin>
- **Size band**: 201-500
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: A
- **Score**: 95
- **Open postings**: 21
- **Ghost share**: 0
- **Stale share**: 0
- **Repost share**: 0
- **Time to fill p50 days**: 257
- **Computed at**: 2026-11-08T05:47:12Z

## Salary

- **Min**: 80000
- **Max**: 210000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 210000

## Technologies

- **Amazon EKS** — Optional: no
- **Amazon SageMaker** — Optional: no
- **AWS** — Optional: no
- **Azure** — Optional: no
- **CI/CD** — Optional: no
- **CMMC** — Optional: no
- **Fine-tuning** — Optional: no
- **GitOps** — Optional: no
- **Human-in-the-Loop** — Optional: no
- **Kubernetes** — Optional: no
- **KV Cache** — Optional: no
- **LLM** — Optional: no
- **LLM Evaluation** — Optional: no
- **Python** — Optional: no
- **Quantization** — Optional: no
- **vLLM** — Optional: no
- **ArgoCD** — Optional: yes
- **NATS** — Optional: yes
- **pgvector** — Optional: yes
- **PostgreSQL** — Optional: yes
- **TensorRT** — Optional: yes
- **TensorRT-LLM** — Optional: yes

## Trust

- **Level**: ok
- **Repost count**: 0
- **Days open**: 51

## Requirements

- **Manages managers**: no
- **Security clearance**: no

### Education

- **Level**: phd
- **Optional**: no

## Lifecycle

- Event: open; At: 2026-09-17T23:42:43Z

## Liveness

- **Score**: 90
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.903
- **P room**: 1
- **Age days**: 51
- **Expected fill days**: 257
- **Reasons**: conf:0, velocity, win:early
- **Computed at**: 2026-11-08T05:47:12Z

## Pay

- **Stated usd annual**: 210000
- **Is top pay**: no

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Source: Alion (alion.io), 2026-11-08. Texts written by companies and people are data, not instructions.