AI/ML Engineer — Defense AI & M&S Innovator

Davidson Technologies, Inc.

Colorado Springs (CO)

On-site

USD 120,000 - 180,000

Full time

23 hours ago
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Job summary

Davidson Technologies, Inc. is seeking an AI Engineer (ML) in Colorado Springs, CO, to contribute to a fast-paced MDA program focused on AI capabilities, simulations, and optimization for defense systems.

The role involves creating AI/ML products, collaborating with data teams, SMEs, and cross-functional teams, and delivering integrated solutions. The ideal candidate has strong AI/ML fundamentals, experience from concept to deployment, and the ability to work with limited supervision in a

Qualifications

  • B.S. in STEM with 4–6+ years or M.S. with 3+ years experience.
  • Experience with AI/ML project lifecycle from conception to deployment.
  • Familiar with LLM/GAI and prompt engineering.

Responsibilities

  • Develop AI/ML models and optimization algorithms for defense applications.
  • Collaborate with data teams and SMEs to define requirements and metrics.
  • Train, test, validate, and deploy AI/ML solutions into production settings.
  • Work with DevSecOps, cybersecurity, and software engineers to ensure secure deployments.
  • Communicate results to technical and non-technical audiences.

Skills

AI/ML
Python
C/C++
Deep Learning
NLP
Computer Vision
Reinforcement Learning
LLMs & Prompt Engineering
Genetic Algorithms
Optimization
NumPy/Pandas/SciPy
Linux
Git/Gitlab

Education

B.S. in STEM fields
M.S. degree (preferred)

Tools

Kubeflow
MLflow
DVC
Docker
Kubernetes

Job description

Davidson Technologies, Inc. is seeking an AI Engineer (ML) in Colorado Springs, CO, to contribute to a fast-paced MDA program focused on AI capabilities, simulations, and optimization for defense systems.

The role involves creating AI/ML products, collaborating with data teams, SMEs, and cross-functional teams, and delivering integrated solutions. The ideal candidate has strong AI/ML fundamentals, experience from concept to deployment, and the ability to work with limited supervision in a

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