AI​/ML Engineer – Time Dominant Track Fusion; TDTF

At INflow Federal, we’re not just building infrastructure—we’re shaping the future of national defense. We design and engineer secure, intelligent systems that empower mission success through the seamless integration of human insight and machine capability. With deep roots in Department of Defense (DoD) networks and a commitment to operational excellence, we deliver infrastructure that fuels advanced analytics, AI/ML, and data-driven decision‑making ry project is an opportunity to tackle complexity head‑on and build solutions that make a real‑world impact.

Join INflow and help lead the charge toward a smarter, more connected defense landscape.

Join a cutting‑edge team pioneering advanced AI and machine learning solutions for defense and intelligence applications. As an AI/ML Engineer focused on Time Dominant Track Fusion (TDTF), you’ll transform complex sensor data into actionable intelligence—powering faster, smarter, and more accurate decision‑making in real time.

At INflow Federal, your work is more than a job—it's a journey in innovation. With opportunities to work on high‑impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.

• Design, develop, and deploy AI/ML models that enable precise object detection, identification, and classification across diverse data sources.
• Apply advanced remote sensing and image processing techniques to analyze high‑volume datasets and enhance situational awareness.
• Create, refine, and optimize algorithms that drive next‑generation data fusion and real‑time analytics.
• Collaborate with multi‑disciplinary teams to integrate AI/ML solutions into production environments.
• Use Python to build, test, and scale AI‑driven applications that deliver measurable performance improvements.
• Manage source control and software configuration with Git to ensure code integrity and collaboration efficiency.
• Operate and troubleshoot machine learning models in Linux environments, ensuring system reliability and high performance.

• 4+ years of hands‑on experience building and delivering AI/ML‑based solutions for object identification and classification.
• Proven background in remote sensing, data exploitation, and algorithm development.
• 4+ years of professional Python experience, with a focus on ML frameworks and data science libraries.
• Strong understanding of software version control and collaborative workflows using Git.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• Experience with AWS or cloud‑based ML infrastructure.
• Familiarity with sensor systems, capabilities, and data integration.
• Ability to thrive in dynamic environments with limited guidance.
• Strong communication skills—capable of translating complex AI concepts to technical and non‑technical audiences alike.

• Active DoD TS/SCI (must obtain CI poly)

• Army: 35G (Geospatial Intelligence Imagery Analyst), 35N (Signals Intelligence Analyst), 35S (Signals Collector/Analyst), 17C (Cyber Operations Specialist), 25D (Cyber Network Defender), 125D (Geospatial Technician)
• Navy: IS (Intelligence Specialist), CTI (Cryptologic Technician - Interpretive), CTR (Cryptologic Technician - Collection), CTN (Cryptologic Technician - Networks), CTT (Cryptologic Technician - Technical)
• Air Force/Space Force: 1N1X1A (Geospatial Intelligence Analyst), 1N4X1A (Fusion Analyst), 1N2X1 (Signals Intelligence Analyst), 17X (Cyber Operations Officer), 9S100 (Scientific Applications Specialist)
• Marine Corps: 0241 (Imagery Analysis Specialist)

Founded in 2013, INflow Federal is a mission‑driven small business delivering cutting‑edge solutions in Network Modernization, Cybersecurity, and Data Modernization to support Joint Force operations across 20+ states. We’re proud to serve customers like the U.S. Navy, Marine Corps, and other federal agencies.

Our strength comes from our people—especially the Veterans who make up over 50% of our workforce. Through our Veteran…