Machine Learning Engineer (Federal Sector)

Remote
Contracted
Mid Level

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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