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Job Overview
Location
Springfield, VA
Job Type
Full-time
Category
Software Engineering
Date Posted
October 24, 2025
Full Job Description
đź“‹ Description
- • Architect and deliver high-impact AI/ML solutions that fuse multi-source sensor data into a single, time-dominant track picture for defense and intelligence operators. Your models will directly shorten the sensor-to-shooter timeline and save lives in contested environments.
- • Own the full ML lifecycle: ingest raw electro-optical, SAR, GMTI, and SIGINT feeds; engineer features; train deep-learning and classical models for object detection, classification, and cross-sensor correlation; containerize with Docker; and deploy to on-prem GPU clusters and classified AWS regions.
- • Push the boundaries of remote-sensing analytics by experimenting with state-of-the-art architectures (CNNs, ViTs, GNNs, transformers) to exploit subtle signatures in high-resolution imagery and full-motion video, achieving >95 % precision/recall on never-before-seen targets.
- • Build real-time data-fusion pipelines that ingest 10-100 GB/hour of streaming data, apply Kalman and Bayesian filters, and output fused tracks with sub-second latency to tactical C2 systems via REST and ZeroMQ endpoints.
- • Collaborate daily with imagery analysts, SIGINT linguists, and mission operators to translate raw intelligence needs into model requirements, then iterate rapidly in two-week sprints to deliver measurable mission impact.
- • Harden models against adversarial spoofing and concept drift by integrating continuous-learning loops, automated retraining, and drift-detection monitors that alert operators when performance degrades.
- • Leverage Python, PyTorch/TensorFlow, OpenCV, GDAL, and cuDF to prototype at speed, then refactor into production-grade code that passes rigorous DoD security reviews and runs on air-gapped networks.
- • Maintain strict configuration management with Git/GitLab CI, enforce branch protection, peer reviews, and automated unit/integration tests to guarantee code integrity across multi-developer teams.
- • Troubleshoot and optimize GPU-accelerated inference services on RHEL and Ubuntu systems, tuning kernel parameters, memory allocation, and container resource limits to achieve 99.9 % uptime under peak load.
- • Document algorithms, APIs, and deployment playbooks in Confluence and Markdown so that future engineers—and cleared mission partners—can reproduce results and extend capabilities without tribal knowledge.
- • Present findings to senior defense stakeholders, translating complex technical metrics into clear operational value: reduced false-alarm rates, expanded coverage areas, and faster threat confirmation times.
- • Mentor junior data scientists and interns, sharing best practices in MLOps, secure coding, and cloud-native architecture to scale the team’s collective impact across multiple classified programs.
🎯 Requirements
- • 4+ years hands-on experience designing, training, and deploying AI/ML models for object identification and classification in defense, intelligence, or similarly regulated environments.
- • 4+ years professional Python development with proven use of ML frameworks (PyTorch, TensorFlow, scikit-learn) and data-science libraries (Pandas, NumPy, Xarray, Dask).
- • Demonstrated background in remote-sensing data exploitation, algorithm development, and large-scale geospatial analytics.
- • Proficiency with Git for version control and collaborative software workflows (branching, pull requests, CI/CD).
- • Active DoD TS/SCI security clearance and willingness to obtain a CI polygraph.
- • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field.
🏖️ Benefits
- • Mission-first culture where >50 % of colleagues are Veterans who understand the real-world stakes of your work.
- • Veteran Outreach Program with dedicated career coaching, mentorship, and leadership pathways.
- • Access to cutting-edge GPU clusters, classified cloud sandboxes, and emerging sensor datasets rarely available outside government labs.
- • Flexible on-site schedule, generous PTO, and employer-covered medical, dental, and vision insurance for you and your family.
Skills & Technologies
About Inflow Federal LLC
Inflow Federal LLC provides cloud, cybersecurity, data engineering, and AI solutions for U.S. federal agencies. The company designs, integrates, and secures enterprise systems, modernizes legacy infrastructures, and delivers secure data platforms. Core capabilities include cloud migration, zero-trust architectures, AI/ML analytics, and managed services. Established in 2017 and headquartered in Arlington, Virginia, Inflow Federal holds SBA 8(a) certification and holds multiple federal contract vehicles. Clients include the Department of Defense, Department of Homeland Security, and intelligence community organizations.
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