Defianx
AI / Machine Learning Engineer
Designs, builds, deploys, and maintains AI/ML capabilities (generative AI, NLP, predictive analytics) supporting NATO operational requirements. Day-to-day work spans model development and evaluation, building APIs and pipelines, and integrating AI into applications using Python and frameworks like PyTorch/TensorFlow, with a required security clearance.
- Compensation
- Not disclosed
- Location
- Norfolk, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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
Full 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.