AI / Machine Learning Engineer
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Role details
Tech stack
Job description
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
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Develop, train, test, and evaluate AI/ML solutions.
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Build and integrate AI-enabled applications and services.
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Support mission-relevant generative AI, NLP, predictive analytics, classification, optimization, and related use cases.
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Establish repeatable model-development and evaluation processes.
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Evaluate accuracy, reliability, security, bias, and operational suitability.
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Develop APIs, pipelines, and integration mechanisms.
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Support model deployment, monitoring, configuration, and lifecycle management.
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Work with data scientists, architects, engineers, cybersecurity specialists, and operational users.
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Document assumptions, limitations, risks, and performance results.
- Apply responsible and secure AI-engineering principles., Associate Cloud AI Engineer (Entry Level) Location: Various U.S. Federal Client Sites (Onsite) Travel: Travel required to customer sites throughout the Continental U.S. Salary:…
- 1 month ago
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Requirements
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Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or related discipline.
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5+ years of software, data, or AI engineering experience, including demonstrated ML/AI development.
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Strong Python skills.
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Experience with PyTorch, TensorFlow, Scikit-learn, or equivalent ML frameworks.
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Understanding of model development, validation, deployment, and monitoring.
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Experience integrating AI into operational applications.
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Required citizenship and security clearance.
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