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Machine Learning Engineer (Federal Sector)
Machine Learning Engineer (Federal Sector)Blueprint Creative Group • Hybrid, FL, US
Machine Learning Engineer (Federal Sector)

Machine Learning Engineer (Federal Sector)

Blueprint Creative Group • Hybrid, FL, US
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Machine Learning Engineer (Federal AI & Predictive Analytics) 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.

Key Responsibilities :

  • 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 TensorFlow, PyTorch, and Scikit-Learn .
  • 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 .
  • Collaborate with federal agencies and technology teams to align AI solutions with mission objectives.

    • Required Skills & Experience :

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

    • Security Clearance :

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

    • Location :

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