Machine Learning Engineer; Federal

Job Overview

Blueprint Creative Group is seeking a Machine Learning Engineer with a strong background in AI‑driven predictive analytics and federal cybersecurity applications. This role focuses on developing, training, and deploying AI models for mission‑critical applications, including cybersecurity, geospatial intelligence, and risk analytics for federal agencies.

• Develop and deploy machine learning models for anomaly detection, risk assessment, and predictive modeling in federal environments.
• Optimize AI‑powered cybersecurity solutions for threat detection and vulnerability assessments.
• Enhance geospatial intelligence analytics by refining object detection, data fusion, and predictive mapping techniques.
• Implement and fine‑tune deep learning frameworks such as Tensor Flow, PyTorch, and Scikit‑Learn
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• Design AI‑driven dashboards and analytics tools using Tableau, Power BI, or D3.js for real‑time federal data insights.
• Ensure AI compliance with FedRAMP, Zero Trust, NIST AI ethics, and CISA cybersecurity guidelines
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• Collaborate with federal agencies and technology teams to align AI solutions with mission objectives.

• 3+ years of experience in machine learning, predictive analytics, or AI model deployment
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• Strong programming skills in Python, R, and SQL
  ; familiarity with cloud AI tools like AWS Sage Maker, Azure AI, or Google Vertex AI
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• Experience working on federal data analytics, cybersecurity, or risk intelligence projects
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• Proficiency in data visualization tools such as Tableau, Power BI, or D3.js
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• Familiarity with Zero Trust frameworks, NIST AI Risk Management Framework, and federal cybersecurity best practices
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• Experience in natural language processing (NLP), computer vision, or reinforcement learning (preferred but not required).

• Preferred: Secret / TS/SCI (for DoD‑related projects).

• Remote / Hybrid (with potential travel to federal agency sites).