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Develop clean, efficient end-to-end software using APIs, analytics, and infrastructure in an agile environment. Analyze architectures, implement production-ready systems, identify improvements, collaborate cross-functionally, and grow technical skills while supporting testing and automation.

Design, implement, and optimize computer vision and multi-sensor fusion algorithms for detection, characterization, and tracking. Build training, evaluation, and deployment pipelines (Python/C++), integrate deep learning (transformers like DINO/CLIP/SAM) with classical estimation (Kalman filters), and support GPU‑accelerated, containerized inference for real‑time GEOINT applications.

As an AI/ML Engineer, you'll implement machine learning techniques, build AI models, and support national security applications, collaborating with various teams.

Lead data science efforts: explore, clean, analyze structured and unstructured data; design data pipelines; build predictive models and visualizations; guide teammates and advise clients. Communicate findings at strategic and technical levels.

Design, provision, and manage AWS cloud infrastructure and virtual machines; implement Infrastructure-as-Code and Configuration-as-Code; build and maintain CI/CD pipelines; automate with Bash/Python/PowerShell; deploy and operate containerized applications (Docker/Podman/Kubernetes); apply cloud networking, security, and monitoring best practices to support client missions.

Design, build, and deploy production-grade AI/ML systems (NLP/LLMs, computer vision, generative AI). Create scalable data pipelines, microservices/APIs, and cloud- or edge-deployed models. Ensure security, observability, and performance; perform model optimization, versioning, A/B testing, and documentation. Collaborate with engineers, mission SMEs, and product teams to meet operational requirements.

Lead complex data exploration and analytics for DoD/IC, develop and apply statistical and AI/ML models, evaluate AI methodologies, perform TEVV and AI risk mitigation, and guide teams working on classified networks to produce actionable intelligence.

Develop and maintain scientific Python pipelines and processing tools for radiometric modeling, imaging and signal processing, orbital modeling, and ML-enabled detection/classification. Implement preprocessing, alignment, and super-resolution workflows, manage reproducible environments (GitLab, containers), and collaborate with astrodynamics, operations, and ML teams to deliver integrated space-domain awareness capabilities.

Lead advanced data exploration and analytics for national security clients: evaluate AI and LLM methodologies, develop TEVV and ML validation in CI/CD, visualize risks for leadership, guide teams, and work on classified networks to support DoD/IC missions.

Design and implement full‑stack features for cloud‑native microservices and front‑end interfaces. Build and integrate APIs, containerized services, and IaC for AWS/Azure. Participate in DevSecOps, CI/CD, Agile practices, and integrate analytic/ML pipeline components while supporting secure, scalable mission systems.