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Defianx
AI / Machine Learning Engineer
Norfolk, USVor OrtVertragVollzeit
Veröffentlicht am 8. Sept. 2026
Diese Stelle wird in EN ausgeschrieben
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
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.
Rollenübersicht
Jobart
Vollzeit
Erforderliche Kompetenzen
Python programmingPyTorch/TensorFlow/Scikit-learn (ML frameworks)Machine learning model development (training, testing, evaluation)Model validation and evaluation (accuracy, reliability, bias, operational suitability)Model deployment, monitoring, and lifecycle management (MLOps)API, pipeline, and integration developmentGenerative AI and Natural Language Processing (NLP)Predictive analytics, classification, and optimization techniquesResponsible and secure AI engineering (bias mitigation and security)Data preprocessing and feature engineeringCross-functional collaboration with data scientists, architects, cybersecurity specialists, and operational usersTechnical documentation of assumptions, limitations, risks, and performance
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