Data Scientist

3 days ago


Springfield, Virginia, United States INflow Federal Full time
About INflow Federal:
Inflow Federal is a leading provider of cutting-edge AI/ML solutions for the Department of Defense (DoD) networks. Our mission is to empower DoD customers with innovative data management and infrastructure, driving our commitment to data modernization and cyber resilience.

As a Machine Learning Engineer at INflow Federal, you will be part of a dynamic team dedicated to designing and engineering solutions for complex problems. With a strong focus on collaboration and creativity, we strive to advance the boundaries of digital transformation and reshape the future of mission systems and operations.

Key Responsibilities:
- Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
- Implement 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.
- Work on high-impact projects, leveraging expertise in transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models using limited training data from satellite imagery.
- Develop secure containerized Python applications, hardening, scanning, automating builds using CI/CD pipelines, and querying and retrieving imagery from S3 compliant API's perform common image preprocessing using Boto3 and NumPy.

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