Posted at: 8 October

Machine Learning Engineer (Federal Sector)

Company

Blueprint Creative Group

Blueprint Creative Group is a Miami-based B2B strategic communications firm specializing in public affairs and technology solutions for government and public sector clients, with additional offices in Atlanta and Washington, D.C.

Remote Hiring Policy:

Blueprint Creative Group supports a hybrid work model, hiring remotely for various roles primarily within the United States, with team members located in cities such as Miami, Atlanta, and Washington, DC.

Job Type

Full-time

Allowed Applicant Locations

United States

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Job Description

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).

Apply Here