AI / Machine Learning Research Scientist BDVA 1672
Quick Summary
Clearance Level: Active Top Secret / SCI US Citizenship: Required Job Classification: Regular, Full-Time Location: Reston, VA / Arlington,
Global InfoTek, Inc. is hiring an AI / Machine Learning Research Scientist to lead applied AI research and prototyping initiatives. You will research, design, and deploy advanced AI algorithms, agentic AI frameworks, Large Language Models (LLMs), and computer vision models tailored for defense applications, predictive analytics, and autonomous decision-support systems.
- Deep theoretical and practical expertise in Machine Learning, Deep Learning, Transformer architectures, and LLMs.
- Proficiency with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, Ray).
- Demonstrated experience designing Agentic AI architectures for autonomous decision-making and multi-agent coordination.
- Strong programming fluency in Python, C++, and GPU acceleration libraries (CUDA).
- Experience developing AI models capable of operating on edge hardware or constrained defense networks.
- Experience with AI safety, explainability (XAI), adversarial ML defense, and model robustness testing.
- Published research or patented innovations in applied AI for defense/intelligence problems.
- Familiarity with CDAO (Chief Digital and AI Office) tools, Tradewind, or DoD AI governance frameworks.
AWS Certified Machine Learning Specialist, TensorFlow Developer Certificate, or equivalent advanced AI credentials
Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability.
About Global InfoTek, Inc.: Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.
Location & Eligibility
Listing Details
- First seen
- October 7, 2026
- Last seen
- October 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 66%
- Scored at
- October 7, 2026
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