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AI ​/ ML Engineer

Job in Huntsville, Madison County, Alabama, 35801, USA
Listing for: Deploy Alloy
Full Time position
Listed on 2026-08-18
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below

Cyber Works And Digital Engineering

DEPLOY's client's Cyber Works and Digital Engineering teams in Huntsville, Alabama design, build, and integrate emerging AI/ML technologies to harden and secure the systems that defend the nation, across ground, missile defense, space, and installation infrastructure S&T programs. We're expanding our Secure AI practice to build and assure trusted, robust AI/ML solutions that interpret complex datasets, predict outcomes, and automate decision-making in support of critical military platforms.

This is a consolidated announcement covering multiple tracks; your assignment may emphasize one or a blend of:
Classic ML & Predictive Modeling, LLM/GenAI Applications, AI Assurance & Responsible AI, Edge AI/ML Deployment, and hardening AI/ML systems against adversarial threats. All tracks require independent research, cross-functional collaboration, and the ability to clearly communicate complex technical work to stakeholders.

Core Responsibilities:

  • Design, develop, and maintain machine learning models, from classical algorithms (regression, tree ensembles, clustering) to modern deep learning architectures.
  • Build LLM-enabled applications and retrieval-augmented generation (RAG) pipelines, including vector embedding generation, vector database integration, and prompt/context engineering.
  • Develop AI assurance and evaluation tooling: robustness testing, bias/fairness analysis, model traceability, red-team/adversarial testing, and audit artifact generation.
  • Optimize and deploy models for production and edge environments (quantization, compression, containerized inference, ONNX/TensorRT).
  • Implement secure model and data pipelines, defend against adversarial ML threats, and ensure supply-chain integrity (SBOM) for AI components.
  • Conduct data processing/analysis to improve model accuracy; document and present development processes and assurance evidence to stakeholders.
  • Contribute to Agile, team-based planning and estimating in a fast-paced, collaborative environment.

Minimum Requirements:

  • Bachelor's degree or equivalent experience in CS/CPE/EE/Data Science (or related field).
  • Proven experience in one or more: ML/LLM development, assurance/evaluation tooling, or deploying edge computing solutions.
  • Hands-on experience with ML frameworks such as Tensor Flow, PyTorch, or Scikit-learn.
  • Proficiency in Python and at least one additional language (Java, C++).
  • Strong understanding of data structures, data modeling, and software architecture.

Highlighted

Skills & Experience:

  • Modern AI: LLM frameworks and application development; vector embeddings and vector databases; RAG architectures; prompt/context engineering; LLM fine-tuning; model evaluation and benchmarking.
  • Classic ML:
    Feature engineering, model selection/tuning, statistical analysis, and predictive modeling across structured and unstructured data.
  • AI Assurance:
    Responsible AI practices (robustness, bias/fairness, traceability); adversarial ML defenses; red-team testing; auditability and compliance documentation.
  • Edge & Deployment: ONNX/TensorRT, quantization/compression, ARM/NVIDIA Jetson/DSP targets, containerized inference, MLOps in controlled/classified environments.
  • Platform & Dev Sec Ops : REST APIs, CI/CD for software and ML systems, SAST/DAST, Infrastructure-as-Code, cloud platforms (AWS, Azure, GCP).
  • Domain:
    Familiarity with computer networking, secure system integration for mission platforms, and test/V&V support (Python/MATLAB analysis).
  • Contributions to open-source AI/ML projects; experience deploying AI models in production, classified, or embedded environments.
  • Understanding of computer security principles and secure software development lifecycle (SSDLC) practices.

Why This Role Matters:

You'll join a high-impact team solving some of the DoD's hardest problems in AI-enabled system security, building the next generation of trusted, auditable, and mission-ready AI for national defense.

About DEPLOY's Client:

For the past 43 years, DEPLOY's client has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DEPLOY's client provides a compelling benefits package including a generous profit-sharing plan, competitive salaries, and perhaps most importantly, the opportunity to work alongside talented professionals leveraging cutting-edge technologies to solve complex and engaging problems.

Why employees love working for DEPLOY's client:

  • Competitive health, dental and vision insurance with affordable premiums
  • Flexible work schedules
  • Two different flexible spending account options
  • Company paid life insurance with options for employee paid additional
  • Performance bonus program
  • Education reimbursement program
  • Company paid personal leave for approved philanthropic activities
  • Vacation, Sick & Holiday leave
  • Robust 401k profit sharing plan
  • Opportunities for internal promotions
  • Employee referral incentive program
  • Rewards and gifts for service anniversaries

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