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AI/ML Systems Engineer

Modern Technology Solutions Inc
Dayton, OH, USA
≈ 899,9 тыс.–1,4 млн ₽ · 9,8 тыс.–15,2 тыс. €
11 250 – 17 500 $
🏢 Офис
Senior
Полная занятость
Продуктовая
Tech
Описание вакансии
Обязанности
Analyze ground segment architectures technologies and standards to inform reference architecture
Communicate technical findings architecture recommendations and implementation roadmaps to stakeholders
Define architectural principles standards and guidelines for interoperability modularity scalability and severability
Define human in the loop validation governance and traceability mechanisms
Design secure auditable AI ML workflows for controlled mission critical environments
Develop AI enabled approaches for analyzing engineering datasets
Develop and deliver technical documentation including architectural diagrams interface specifications and implementation guidelines
Develop recommendations to improve data exchange communication protocols and functional integration
Evaluate emerging AI ML agentic AI data engineering and MLOps technologies for digital engineering environments
Improve CI CD and DevSecOps pipelines using AI ML assisted automation anomaly detection and quality gates
Lead AI ML enabled engineering capabilities integration into ground systems architecture workflows
Lead Government Reference Architecture development for ground segments
Perform ground systems architecture interface analysis system decomposition and requirements traceability
Translate mission and platform requirements into reference architecture
Use agentic AI for architecture trade studies design decision analysis and risk identification

Технологии: AI Assurance, AI Governance, AI machine learning, Agentic Workflows, Anomaly Detection, Architecture Modeling, Architecture trade studies, CI/CD, Data Engineering, Data analytics, Deployment Insights, DevSecOps, Human-in-the-loop, Interface definition, Language Models, Large Language Models, MLOps, Machine Learning, Mbse, Model Evaluation, Prompt engineering, Quality gates, Requirements Traceability, Retrieval-Augmented Generation, Systems engineering, Technical documentation, Test prioritization, The Loop, Trade studies

AI-помощник
ИсточникСкрыто
Опубликовано4 дн назад
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