Secure AI/ML Engineer — Edge & LLM for Mission Systems

Deploy Alloy; Huntsville (AL); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Flexible work schedules

Annual bonus program

Education reimbursement

Job summary

DEPLOY's client in Huntsville, Alabama seeks engineers to design, develop, and deploy AI/ML systems for national defense. Work spans classical ML to modern deep learning, including LLM-enabled apps and RAG pipelines, with emphasis on secure data pipelines and verifiable assurance.

You will contribute to Agile planning in a cross-functional team, applying SSDLC practices and building production-grade models for edge environments and mission platforms.

Qualifications

• Bachelor's degree or equivalent experience in CS/CE/EE/DS.
• Proven experience in ML/LLM development, assurance/evaluation tooling, or edge deployments.
• Hands-on with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Responsibilities

• Design, develop, and maintain ML models from classical to deep learning.
• Build LLM-enabled apps and RAG pipelines with vector DBs and prompts.
• Develop assurance tooling: robustness testing, bias/fairness, audit artifacts.

Skills

ML/LLM development

Edge deployment

REST APIs

Python

Java

Education

Bachelor's degree in CS/EE/Data Science

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

DEPLOY's client in Huntsville, Alabama seeks engineers to design, develop, and deploy AI/ML systems for national defense. Work spans classical ML to modern deep learning, including LLM-enabled apps and RAG pipelines, with emphasis on secure data pipelines and verifiable assurance.

You will contribute to Agile planning in a cross-functional team, applying SSDLC practices and building production-grade models for edge environments and mission platforms.