What are the responsibilities and job description for the Machine Learning Engineer (Federal Sector) position at Blueprint Creative Group?
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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