AI/ML Architect

🕒 il y a 10 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

🤖 Intelligence Artificielle

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 76%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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DecisionPoint Corporation

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2011

🎖️ Défense

💼 Conseil

📦 Logistique

Defense • Consulting • Logistics

DecisionPoint Corporation est une petite entreprise détenue par des anciens combattants handicapés dans le service, spécialisée dans la modernisation informatique et la transformation numérique pour les agences gouvernementales. Elle propose des services complets comprenant la cybersécurité, les technologies de la santé et des solutions d'automatisation intelligente, visant à améliorer l'efficacité et l'efficience opérationnelles tout en garantissant une migration sécurisée vers le cloud. Leur approche des Centres d'Excellence favorise le succès des missions en répondant aux défis les plus urgents des entités gouvernementales grâce à une technologie innovante et un soutien expert.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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