Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 15 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join us. Barbaricum is seeking a mid-level AI/ML Engineer to support the Long-Range Enterprise Intelligence, Surveillance, and Reconnaissance Activity (LEIA) Task Order, following the ongoing Combatant Commands C5ISR - Pacific Operations (C3PO) TO. This team will provide advanced artificial intelligence and machine learning expertise to Special Operations Command Pacific (SOCPAC) and its strategic partners, ensuring the development of innovative solutions for multi-mission capabilities. The AI/ML Engineer will design, implement, and optimize AI models, enhancing the effectiveness of intelligence, surveillance, and reconnaissance operations in a dynamic, multi-domain environment.
Responsibilities
Study and Transform Prototypes
Analyze and adapt data science prototypes into functional models.
Architect and build machine learning (ML) systems tailored to specific use cases.
Develop and Implement Algorithms
Create and deploy suitable ML algorithms and tools for various applications.
Select Datasets and Data Representation Methods:
Choose appropriate datasets and methods for representing data to optimize model performance.
Conduct machine learning tests and experiments to validate model effectiveness.
Analyze test results and fine-tune models for improved accuracy and performance.
Continuously train and retrain ML systems as necessary to maintain optimal performance.
Qualifications
Active DoD Top Secret Clearance required
Bachelor’s degree with 6-10 years of experience
Experience with Big Data systems and ETL processes
Experience designing Machine Language processes
Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0
Applying DoD Security Technical Implementation Guides (STIGs) and automating that process
Experience with multiple coding languages
Additional Information For more information about Barbaricum, please visit our website at www.barbaricum.com. We will contact candidates directly to schedule interviews. No phone calls please.
