AI/ML Engineer (AI Engineering)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
AI/ML Engineer (AI Engineering): Designing, building, and integrating AI/ML solutions focused on autonomous warfare within the Department of War with an accent on AI and deep learning. Focus on developing scalable and robust AI/ML systems compliant with government cybersecurity policies and improving autonomous warfare capabilities.
Location: Falls Church, VA
Company
Redhorse transforms how the government uses data and technology, delivering data insights and technology solutions to customers with missions critical to U.S. national interests.
What you will do
- Support the implementation of CDAO’s Algorithmic Warfare (AW) AI scaffolding project.
- Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies.
- Support the development and integration of AI/ML solutions with existing government IT infrastructure and systems, focusing on improving autonomous warfare capabilities.
- Contribute to cross-functional team efforts on CDAO’s large language model task force.
- Prepare technical documentation, including system design, development reports, and user manuals.
Requirements
- US citizenship with an active Department of Defense (DoW) Top Secret (TS) security clearance and current access to Sensitive Compartmented Information (SCI) (TS/SCI) is required.
- Bachelor’s degree in engineering and 8 years of related experience, or a combination of advanced degree/experience.
- Experience in system development/configuration, integration, and support efforts.
- Knowledge and execution with DoW systems is highly desired.
Nice to have
- Experience in autonomous warfare development.
- Extensive knowledge of Cloud architecture, application, and integration (e.g., DataBricks, AWS, Azure, GCP).
- Proven experience with software development (in languages such as Python) and/or development of artificial intelligence/machine learning software.
- Experience with large language models (LLMs) and natural language processing (NLP).
- Experience with containerization technologies (Docker, Kubernetes).
Culture & Benefits
- oration is an equal opportunity employer.
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