AI/ML Architect

Provável vaga fantasma

🕒 Novembro 22, 2025

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Inteligência Artificial

🦅 Patrocina Visto H1B

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👻 Score fantasma 76%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of DecisionPoint Corporation

DecisionPoint Corporation

51 - 200 funcionários

Fundada em 2011

🎖️ Defesa

💼 Consultoria

📦 Logística

Defense • Consulting • Logistics

A DecisionPoint Corporation é uma Pequena Empresa de Propriedade de Veteranos com Deficiência em Serviço, especializada em modernização de TI e transformação digital para agências governamentais. Eles oferecem serviços abrangentes, incluindo cibersegurança, TI para saúde e soluções de automação inteligente, visando melhorar a eficiência e a eficácia operacional, ao mesmo tempo em que garantem uma migração segura para a nuvem. Sua abordagem de Centros de Excelência impulsiona o sucesso da missão, abordando os desafios mais urgentes enfrentados por entidades governamentais por meio de tecnologia inovadora e suporte especializado.

Descrição

• Design AI/ML pilots supporting predictive analytics, anomaly detection, behavioral analytics, and content automation • Build prototypes for IT and cybersecurity anomaly detection using operational, log, and behavioral datasets • Develop algorithms for personalization, content classification, and relevance scoring • Create end-to-end machine learning pipelines covering preprocessing, feature engineering, model training, validation, and deployment • Work with system owners and cybersecurity teams to identify model inputs, risk indicators, and performance thresholds • Collaborate with dashboard developers to operationalize ML insights into mission dashboards • Evaluate new AI technologies, frameworks, and tools for mission applicability • Support data exploration, hypothesis testing, and experiment design • Produce model descriptions, assumptions, validation reports, and integration specifications • Ensure AI/ML models follow governance guidelines for accuracy, explainability, bias mitigation, and security compliance • Recommend optimization opportunities based on data-driven insights and trend analysis • Collaborate with data scientists, dashboard teams, engineering staff, cybersecurity analysts, and PMO leadership to translate mission needs into AI-driven prototypes and production-ready solutions • Support experimentation, evaluation, and integration of AI/ML capabilities aligned with enterprise governance and modernization objectives

🎯 Requisitos

• Active Secret clearance or higher • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field • Minimum of 12 years of IT architecture experience • Minimum of 5 years of experience designing AI solutions • Experience with anomaly detection, predictive analytics, behavioral analytics, or pattern recognition • Experience supporting AI/ML pilots or prototypes within federal, DoD, or mission-critical environments • Experience building machine learning pipelines and experiment designs • Proficiency with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn • Strong understanding of statistical modeling, anomaly detection, and predictive forecasting • Experience with Python, R, or similar programming languages • Familiarity with data pipelines, feature engineering, and data transformation • Required ITIL v4 Foundation certification • Experience with cloud-based ML platforms such as AWS Sagemaker or Azure ML preferred • Knowledge of cybersecurity datasets and detection logic preferred • Familiarity with LLMs, vector embeddings, or retrieval-augmented AI architectures preferred • AI/ML professional certifications preferred • Cloud practitioner or cloud security certifications preferred • Strong problem-solving and analytical abilities • Ability to communicate complex AI/ML concepts to technical and non-technical audiences • High attention to detail for model validation, accuracy, and performance tuning • Ability to work across multiple teams and integrate AI/ML results into broader program strategies • Strong documentation and communication skills for model explainability

🏖️ Benefícios

• Fully remote work arrangement • Equal employment opportunity and affirmative action protections • Opportunity to work on AI/ML solutions supporting federal and DoD-aligned mission environments • Opportunity to work with data scientists, dashboard teams, engineering staff, cybersecurity analysts, and PMO leadership • Exposure to AI/ML experimentation, evaluation, and enterprise modernization initiatives

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