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).