Unclassified - Springfield, VA
posted 3 months ago
As a Machine Learning Engineer at GDIT, you will be at the forefront of delivering innovative solutions to complex problems. Your role will involve tailoring cutting-edge machine learning solutions to meet the unique requirements of our clients, particularly in the intelligence sector. You will be responsible for rapidly prototyping containerized multimodal deep learning solutions and developing associated data pipelines that enhance GeoAI capabilities. This work is crucial for improving analytic workflows and addressing key intelligence questions. You will leverage your expertise in implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) to conduct tasks such as image retrieval, segmentation, AI-assisted labeling, object detection, and visual question answering using diverse geospatial datasets, including satellite and aerial imagery, full-motion video (FMV), and ground photos. In this role, you will own the opportunity to serve as a critical component of our nation's safety and security. Your contributions will directly impact the protection of our country from various threats. You will be expected to apply your technical skills in transfer learning, knowledge distillation, and deep learning frameworks to optimize models for specific tasks, ensuring that the solutions you develop are both effective and efficient. Your work will not only focus on the technical aspects but also on the end-user experience, making it a priority to deliver solutions that are user-friendly and impactful. At GDIT, we prioritize the growth of our employees, and as a Machine Learning Engineer, you will have access to professional development opportunities, including paid education and certifications. We believe that our people are our differentiator, and we are committed to fostering an environment where you can thrive and advance your career while contributing to meaningful projects.