AI / Machine Learning Engineer

Defiant

$110K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's in Computer Science, AI, Machine Learning, Data Science, Engineering, or related field.
  • 5+ years of experience in software, data, or AI engineering with proven ML/AI development expertise.
  • Proficient in Python programming.
  • Familiarity with ML frameworks like PyTorch, TensorFlow, or Scikit-learn.
  • Comprehension of model development, validation, deployment, and monitoring processes.
  • Experience implementing AI in operational applications.
  • Must possess required citizenship and security clearance.

Responsibilities

  • Develop, train, test, and evaluate AI/ML solutions.
  • Build and integrate AI-enabled applications and services.
  • Support applications like generative AI, NLP, and predictive analytics.
  • Establish repeatable processes for model development and evaluation.
  • Evaluate models for accuracy, reliability, security, bias, and suitability.
  • Develop APIs and integration pipelines.
  • Handle model deployment, monitoring, and lifecycle management.

Benefits

  • Opportunities to work on high-impact projects supporting NATO.
  • Collaborative environment with professionals from various tech backgrounds.
  • Focus on responsible and secure AI engineering principles.
  • Potential for career advancement within a prestigious organization.
Full Job Description
Job Description
Position Summary

The AI/ML Engineer will design, build, integrate, evaluate, and maintain artificial-intelligence and machine-learning capabilities supporting NATO operational and capability-development requirements.

Key Responsibilities

  • Develop, train, test, and evaluate AI/ML solutions.
  • Build and integrate AI-enabled applications and services.
  • Support mission-relevant generative AI, NLP, predictive analytics, classification, optimization, and related use cases.
  • Establish repeatable model-development and evaluation processes.
  • Evaluate accuracy, reliability, security, bias, and operational suitability.
  • Develop APIs, pipelines, and integration mechanisms.
  • Support model deployment, monitoring, configuration, and lifecycle management.
  • Work with data scientists, architects, engineers, cybersecurity specialists, and operational users.
  • Document assumptions, limitations, risks, and performance results.
  • Apply responsible and secure AI-engineering principles.


Requirements

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or related discipline.
  • 5+ years of software, data, or AI engineering experience, including demonstrated ML/AI development.
  • Strong Python skills.
  • Experience with PyTorch, TensorFlow, Scikit-learn, or equivalent ML frameworks.
  • Understanding of model development, validation, deployment, and monitoring.
  • Experience integrating AI into operational applications.
  • Required citizenship and security clearance.

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