Advanced AI Solutions Engineer

2 weeks ago

St Louis, Missouri, United States Blackspoke IT Full time

Embrace the chance to be a vital part of our commitment to enhancing national safety and security. Utilize your skills to make a significant difference in protecting our nation from various threats. Join an exhilarating opportunity to play a role in one of the most essential intelligence organizations in the country. Your contributions will directly influence national security and global matters, allowing you to engage in missions of utmost importance to the United States and its allies. Understand that the environments and initiatives you support are making a substantial impact on a global scale. Our clients are at the leading edge of technology, working with some of the most sophisticated defense, geospatial, and intelligence systems available.

Position Overview

Rapidly develop containerized multimodal deep learning solutions and related data workflows to enhance GeoAI capabilities, improving analytical processes and addressing critical intelligence inquiries. You will be at the forefront of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for tasks such as image retrieval, segmentation, AI-assisted labeling, object detection, and visual question answering using geospatial datasets, including satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.

Technical Expertise Required:

  • Proven experience in applying transfer learning and knowledge distillation techniques to refine pre-trained foundational and computer vision models for effective segmentation and object detection tasks with limited training data using satellite imagery.
  • Demonstrated professional or academic experience in constructing secure containerized Python applications, including hardening, scanning, and automating builds via CI/CD pipelines.
  • Experience using Python to query and retrieve imagery from S3 compliant APIs, performing common image preprocessing tasks such as chipping, augmentation, or conversion using libraries like Boto3 and NumPy.
  • Proficient in deep learning frameworks such as PyTorch or TensorFlow to optimize convolutional neural networks (CNN) like ResNet or U-Net for object detection or segmentation tasks with satellite imagery.
  • Familiarity with version control systems, particularly GitLab.
  • Experience leveraging CUDA for GPU-accelerated computing.

Educational Background:

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

Preferred Skills and Certifications:

  • Experience with the HuggingFace Transformers library and hub.
  • Familiarity with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.
  • Experience with Vision Transformers (ViT) such as DINO or DeiT.
  • Ability to communicate methodological choices and model outcomes effectively.
  • Experience with verification and validation test benches.
  • Knowledge of Explainable AI (XAI) techniques.
  • Familiarity with Open Neural Network Exchange (ONNX).

What We Offer:

  • Become part of a team of technology experts and partners dedicated to a shared mission.
  • A dynamic environment with ample opportunities for career advancement as the company evolves.
  • A leadership team with technical backgrounds who understand the daily challenges of the technical consulting landscape and can provide practical solutions and guidance.
  • A highly competitive benefits package that reflects our commitment to attracting top talent.

Location: On Company Site
US Citizenship Required

Equal Opportunity Employer/Veterans/Disabled. Individuals with disabilities, including disabled veterans or veterans with service-connected disabilities, are encouraged to apply.

This Organization Participates in E-Verify

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) to resolve the issue before any action can be taken against you, including termination of employment.

Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. E-Verify Works for Everyone. For more information on E-Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

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