Artificial Intelligence Engineer

4 days ago


Springfield, Virginia, United States INflow Federal Full time
About the Role:
This is an exciting opportunity to join INflow Federal as a Machine Learning Engineer, contributing to the development of cutting-edge AI/ML solutions for the DoD. With a strong focus on collaboration and creativity, we seek a skilled engineer to 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.

Responsibilities:
- 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.
- 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.
- Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
- Work on high-impact projects, utilizing 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.

Requirements:
- Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
- 2+ years experience.
- Active DoD TS/SCI clearance.

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