The Role
Designs, develops, integrates, evaluates, and maintains AI and machine learning capabilities for NATO operational requirements. Responsibilities include generative AI, NLP, predictive analytics, model training, validation, deployment, monitoring, API and pipeline development, lifecycle management, responsible AI, and collaboration with technical and operational teams.
Summary Generated by Built In
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or a 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 machine learning frameworks
- Understanding of model development, validation, deployment, and monitoring
- Experience integrating AI into operational applications
- Required citizenship
- Security clearance
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The Company
What We Do
Defianx is a cybersecurity and technology services firm serving government agencies and businesses, particularly organizations responsible for mission-critical environments. It provides cybersecurity engineering, security and network operations, incident response, threat operations, cloud security, and technology modernization, alongside federal mission support. Its work connects security, IT, operations, and governance to help clients maintain continuity, improve resilience, make technology investments more valuable, and give leaders clearer insight into risk and business outcomes.
