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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