Hiring.Camp

AI / ML Engineer

"DESE Research, Inc."

Location
Huntsville, AL
Type
Full-time
Department
Engineering
Education
Bachelor
Source
ApplicantPro

Description

DESE's Cyber Works and Digital Engineering teams 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 TensorFlow, 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 & DevSecOps: 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 DESE

For the past 43 years, DESE has provided industry-leading technical and engineering solutions in the fields of Defense, Energy, Space, and Environment. As a small, family-oriented business, DESE 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 DESE:

At DESE, we are committed to creating a company that is known for its respect and care for employees. We understand that happy employees are what keeps our business going and we strive to provide the best opportunities for each individual working on our team! Here are a few reasons you will love working here:

  • 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

Disability Accommodation for Applicants - DESE Research, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following alternative email address or phone number to contact us about your interest in employment with us: [email protected] or 256-837-8004x123.

Skills

PythonJavaMATLABAWSAzureGCPCI/CDMachine LearningDeep LearningTensorFlowPyTorchScikit-learnData ScienceRESTAgileCompliance

Similar Jobs

30

AI/ML

Adidev Technologies Inc · Remote

6 months ago

NSWC- Senior AI/ML Engineer (Computer Engineer IV)- Bedford, IN

Barbaricum · Crane, IN · Onsite

Today

Research Scientist - Frontier AI/ML & Quantum Algorithms

Sygaldry Technologies · San Francisco, US

Today

AI/ML Engineer

Red Hat · Singapore · Onsite

Today

AI/ML Engineer

Red Hat · Singapore · Onsite

Today

AI / ML Engineer

Nelnet as the nation · Lincoln - Nelnet Center, United States of America +5 · Remote

Yesterday

Principal AI/ML Engineer, Validation Strategy & Test Architecture

Micron · Longmont-MAX- Office, CO, United States of America +1

Yesterday

Forward Deployed Engineer (Data, ML & AI)

Carbon60

Yesterday

GDIT 2027 Summer AI / ML Internship

GDIT · USA VA Falls Church - 3150 Fairview Park Dr (VAS095), United States of America · Hybrid

Yesterday

Senior Forward Deployed Engineer (AI/ML), AI Studio

Amgen is committed to unlocking · India - Hyderabad · Onsite

Yesterday

AI/ML Computational Science Analyst

Accenture · Chennai, CDC5A, India

Yesterday

AI/ML Computational Science Sr Analyst

Accenture · Hyderabad, HDC5A, India

Yesterday

AI / ML Engineer

Accenture · Chennai, CDC2F, India

Yesterday

AI / ML Engineer

Accenture · Gurugram, DDC2A, India

Yesterday

AI/ML Computational Scientist

Accenture · Dublin, 1 Grand Canal Square, Ireland

Yesterday

AI / ML Engineer

Accenture · Kolkata, KDC1A, India

Yesterday

Lead AI / ML Engineer

Accenture · New York, One Manhattan West, Corp, United States of America +41 · Hybrid

Yesterday

AI/ML Architect

Aptive Resources · Remote, US · Remote

Yesterday

Senior Principal AI/ML Developer

AutoDesk · AMER - United States - California - Bay Area - Offsite/Home, United States of America · Remote

Yesterday

AI ML Data Engineer/ Scientist

Synechron · Bengaluru - GTP, India +3

Yesterday

Senior AI/ML Engineer

Tt · New York, United States of America

Yesterday

Module Engineering Intern – AI/ML, Data Science, Robotics, Electrical, and Mechatronics Engineering Disciplines

Intel · VNM - Ho Chi Minh City, Vietnam

Yesterday

Principal AI/ML Research Engineer

WEX · California - Remote Office, United States of America · Remote

Yesterday

Intern (f/m/d) AI/ML Compiler Engineer

Job Listings · Munich, Germany · Hybrid, Onsite

Yesterday

AI/ML Computational Scientist Manager

Accenture · Dublin, 1 Grand Canal Square, Ireland

Yesterday

Module Engineering Intern – AI/ML, Data Science, Robotics, Electrical, and Mechatronics Engineering Disciplines

Intel · VNM - Ho Chi Minh City, Vietnam

Yesterday

AI/ML Architect

Red Hat · Singapore · Hybrid

Yesterday

Senior Lead Security Architect, AI/ML Platforms

JPMorgan Chase · Plano, TX, United States, US

Yesterday

Senior Lead Security Architect, AI/ML Platforms

JP Morgan Chase · Plano, TX, United States, US

Yesterday

Compliance - Applied AI/ML Data Scientist - Associate

JPMorgan Chase · Jersey City, NJ, United States, US

Yesterday
AI / ML Engineer at "DESE Research, Inc." | Hiring.Camp