
51 - 200 employees
Founded 2011
🎖️ Defense
💼 Consulting
📦 Logistics
Defense • Consulting • Logistics
DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.
🕒 November 22, 2025
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
🔴 Lead
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
👻 Ghost score 76%
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51 - 200 employees
Founded 2011
🎖️ Defense
💼 Consulting
📦 Logistics
Defense • Consulting • Logistics
DecisionPoint Corporation is a Service Disabled Veteran Owned Small Business specializing in IT modernization and digital transformation for government agencies. They provide comprehensive services including cybersecurity, health IT, and intelligent automation solutions, aimed at improving operational efficiency and effectiveness while ensuring secure cloud migration. Their Centers of Excellence approach drives mission success by addressing the most pressing challenges faced by government entities through innovative technology and expert support.
• 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
• 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
• 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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