Artificial Intelligence (AI) Integration Lead - IRES (ADV000B25)

GeoControl Systems•Colorado Springs, CO

4d•$120,000 - $140,000•Onsite

About The Position

The Artificial Intelligence (AI) Integration Lead supports the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract. The AI Integration Lead will be responsible for overseeing the integration of AI technologies into cybersecurity processes, systems and workflows. This role involves collaborating with cross-functional teams to design and implement AI solutions that drive efficiency, automation and innovation, ensuring seamless integration across enterprise and operational technology systems. The candidate will face challenges such as integrating AI solutions with legacy systems, managing data migration, ensuring consistent model performance, resolving compatibility issues, ensuring cybersecurity compliance, and managing stakeholder expectations.

Requirements

Must have advanced/formal education in a relevant field such as Computer Science, Information Systems, or Data Science
Must have 10, or more, years of general (full-time) work experience
Must have 6, or more, years of directly related experience in AI and/or Data Science
Must have a strong understanding of machine learning workflows (data sampling, preprocessing, model training, evaluation, deployment, and optimization).
Must have experience with data analysis tools and techniques, including data visualization and reporting tools like Tableau or Power BI
Must be proficient in programming languages like Python, R, and Java, familiarity with machine learning algorithms and frameworks, and experience with data analysis and cloud platforms
Must be able to maintain a restricted badge and work on site 4+ days per week
Must have, or obtain within 3 months of start date, a current IAT Level II Certification (Security+CE)
Must have, or obtain, an active DoD Secret Clearance

Nice To Haves

Have a familiarity with the MDA and MDS programs
Have a familiarity with model-based engineering tools and techniques

Responsibilities

Identify and resolve quality issues across the data lifecycle paving the way for workflow automation and orchestration
Design and develop AI models and algorithms
Conduct data analysis to inform AI development and evaluate performance
Identify training data sets to support machine learning of AI systems
Collaborating with cross-functional teams to identify AI opportunities and ensure alignment with defensive cyberspace operation objectives
Monitor and optimize AI system performance which includes conducting tests, troubleshooting issues, implementing optimization strategies to ensure AI systems are accurate, reliable, and scalable
Develop and deliver training materials to upskill internal teams on AI tools and technologies
Stay updated on the latest advancements in AI to ensure practices remain cutting-edge