Sr. AI Engineer
Arlington, Virginia, United States
Full Time Senior-level / Expert Clearance required USD 114K - 231K
Innovative Defense Technologies (IDT)
Innovative Defense Technologies (IDT) develops state-of-the-art automated solutions, enabling the rapid delivery of warfare capabilities for the DOD.
Background Information:Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Sr. AI Engineer to be based in our Arlington, VA office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview: Innovative Defense Technologies is seeking a self-motivated Sr. AI Engineer to help research, identify, and implement AI solutions across the business. Whether on-prem or cloud hosted, the Sr. AI Engineer will deploy these solutions from start to finish, procure AI tools, configure the products, create self-help documentation, and support maintenance and update of these tools. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include:
- Architect, design, and implement scalable AI models and systems that address real-world challenges internal IDT teams face day to day.
- Identify cloud hosted solutions that address real-world challenges internal IDT teams face day to day
- Stay updated with the latest advancements in AI and machine learning. Apply cutting-edge techniques to improve existing systems and identify/create innovative future solutions
- Collaborate with data engineers and scientists to collect, clean, and preprocess vast amounts of structured and unstructured data to ensure quality inputs for AI model training
- Fine-tune hyperparameters and ensure models are robust and reliable
- Implement AI solutions into production and ensure seamless integration with existing platforms and workflows
- Monitor and analyze the performance of AI models in production, identify areas for improvement, and implement necessary updates or corrections
- Work closely with software developers, product managers, and business stakeholders to align AI solutions with organizational goals and customer needs
- Provide guidance to junior team members, contribute to team growth, and lead AI-focused initiatives
- Maintain clear and comprehensive documentation of AI models, processes, and methodologies to support future development and knowledge sharing
- Associate’s degree in Computer Science, Information Technology, Artificial Intelligence or equivalent field of Engineering or equivalent full-time professional experience
- 8+ years of experience in a relevant technology field required
- Experience with Enterprise Redhat Linux
- Windows Server
- Basic level of coding and scripting
- Familiarity with networking
- Experience with the most common LLM’s
- Experience with Azure and Amazon Web Services
- Experience deploying on-prem AI solutions
- Experience deploying cloud hosted AI solutions
- Experience with designing Hardware to support AI solutions
- Experience in architecting cloud environments for AI solutions
- Experience with cloud environments
- VMware experience
- Azure and AWS experience
- Experience with Ansible, Powershell, Python
- Experience scripting
- Experience coding/programming
- Excellent verbal and written communication skills
- Attention to detail with high level of accuracy and confidentiality
- Initiative, reliability, teamwork and customer service orientation
- Strong organization and planning skills
- Ability to scope down requirements and identify proper solutions
- Proven ability to work independently, but thrive in a team environment
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Categories:
Deep Learning Jobs
Engineering Jobs
Tags: Ansible AWS Azure Computer Science Data analysis Engineering Linux LLMs Machine Learning Model training Python Research Security Testing Unstructured data
Perks/benefits: Career development Startup environment
Region:
North America
Country:
United States
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