AI Software Engineer (TS/SCI with Poly Required)

GCI Careers • McLean, VA

7h

About The Position

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry. At GCI, we solve the hard problems. As an AI Software Engineer, a typical day will include the following duties: Expand the customer’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI). Bridge research output to operational teams by packing models as reliable service. Create operator-focused dashboards. Deliver a stable, low-cost productions platform that enables rapid, tailored outreach. Provide weekly highlights summarizing work progress as required by the Customer. Provide briefings, to include presentation slides and user guide documentation, as required by the Customer.

Requirements

• Demonstrated experience in cloud compute environments.
• Demonstrated experience in containerization concepts.
• Demonstrated experience in Machine Learning Operations (MLOps).
• Demonstrated expertise in software engineering, cloud architecture and UI design.
• Demonstrated experience supporting big data environments.
• Demonstrated ability to effectively communicate (verbal and written) with technical and non-technical personnel as well as all levels of management and staff.

Nice To Haves

• Demonstrated experience with proficiency in Python and SQL
• Demonstrated experience with Docker
• Demonstrated experience with Flask, Gradio, or Streamlit

Responsibilities

• Expand the customer’s Artificial Intelligence and Machine Learning (AI/ML) architecture and develop an analytics user interface (UI).
• Bridge research output to operational teams by packing models as reliable service.
• Create operator-focused dashboards.
• Deliver a stable, low-cost productions platform that enables rapid, tailored outreach.
• Provide weekly highlights summarizing work progress as required by the Customer.
• Provide briefings, to include presentation slides and user guide documentation, as required by the Customer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed