Machine Learning Engineer

at  General Dynamics Information Technology

Type of Requisition:
Regular
Clearance Level Must Currently Possess:
Top Secret/SCI
Clearance Level Must Be Able to Obtain:
Top Secret SCI + Polygraph
Suitability:
Public Trust/Other Required:
Job Family:
Systems Engineering
Job Qualifications:
Skills:
Deep Learning, Red Hat OpenShift, Tensorflow
Certifications:
Experience:
5 + years of related experience
US Citizenship Required:
Yes
Job Description:
Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you’ll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you’ll make the end user’s experience your priority and we’ll make your career growth ours.
At GDIT, people are our differentiator. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.

HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT

Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.

Please refer the Job description for details