Artificial Intelligence/Machine Learning (AI/ML) Engineer
Arlington, VA
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Redhorse
We’ve all been on your side of the table at some point in our careers, in uniform or government. That experience helps us understand your challenges in a…
About the OrganizationNow is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.
About the RoleRedhorse transforms how the government uses data and technology. We are seeking a dedicated Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our team and contribute to the forefront of AI and deep learning within the Department of Defense (DoD). Working closely with the Chief Digital and Artificial Intelligence Office (CDAO), you will design, build, and integrate AI/ML solutions focused on autonomous warfare, making a significant impact on national security.
About the RoleRedhorse transforms how the government uses data and technology. We are seeking a dedicated Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our team and contribute to the forefront of AI and deep learning within the Department of Defense (DoD). Working closely with the Chief Digital and Artificial Intelligence Office (CDAO), you will design, build, and integrate AI/ML solutions focused on autonomous warfare, making a significant impact on national security.
Key Responsibilities
- AI/ML Development: Support the implementation of CDAO’s Algorithmic Warfare (AW) AI scaffolding project, including developing a process/structure for DoD teams to develop and test their own AI/ML models. Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Stay current with the latest AI/ML research and technologies, assessing their potential application in government projects.
- Autonomous Warfare: Support the development and integration of AI/ML solutions with existing government IT infrastructure and systems, focusing on improving autonomous warfare capabilities.
- Collaboration: Contribute to cross-functional team efforts on CDAO’s large language model task force. Participate in code reviews, testing, and debugging to ensure high-quality product delivery. Communicate complex AI/ML concepts and results clearly to non-technical stakeholders.
- Architecture and Design: Prepare technical documentation, including system design, development reports, and user manuals.
- Standards Compliance: Develop and maintain scalable and robust AI/ML systems compliant with government cybersecurity policies. Apply National Institute of Standards and Technology (NIST) guidelines for DoD information assurance, including NIST 800-37 and NIST 800-53.
Required Experience/Clearance
- US citizenship with an active Department of Defense (DoD) 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 DoD systems is highly desired.
Desired Experience
- 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).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Deep Learning Jobs
Engineering Jobs
Machine Learning Jobs
Tags: Architecture AWS Azure Databricks Deep Learning Docker Engineering GCP Kubernetes LLMs Machine Learning ML models NLP Python Research Security Testing
Region:
North America
Country:
United States
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