Machine Learning Engineer

1 week ago


Springfield, Virginia, United States William C Brown Inc Full time

About the Role:

We are seeking a highly skilled Machine Learning Engineer to support our customer's in Springfield, VA. As a Machine Learning Engineer, you will work on cutting-edge solutions, tailoring them to the unique requirements of our clients. Your priority will be the end user's experience, and we will prioritize your career growth. You will help ensure today is safe and tomorrow is smarter.



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.

• Utilize demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.

• Leverage professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.

• Utilize experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.

• Employ professional or academic experience with version control systems such as Gitlab.

• Leverage experience leveraging CUDA for GPU accelerated computing.

• Utilize professional or academic experience with the HuggingFace Transformers library and hub.

• Employ experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.

• Utilize experience with Vision Transformers (ViT) such as DINO or DeiT.

• Utilize experience with verification and validation test benches.

• Employ experience with Explainable AI (XAI) techniques.

• Utilize experience with Open Neural Net Exchange (ONNX).

Requirements:

• TS/SCI Clearance

• Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree

• 5+ years of experience

• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub

Location:

On Company Site

US Citizenship Required:

Yes

Security Clearance Requirements:

Active TS / SCI Clearance



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