Machine Learning Engineer

Overview:
Location: Springfield, VA/St.Louis, MO
Security Clearance Required: Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly is required upon application for initial consideration This position is not open for any clearance upgrades or sponsorship.
teKnoluxion provides the Defense and Intelligence Communities technical experts in the fields of Software & Systems Engineering, Enterprise Operations, and Cloud Services Management & Consulting. Our goal is not to simply support efforts, but to ignite a technology revolution, bridging the growing technology gap between the Government and commercial space.
Are you ready to test your abilities as a Machine Learning Engineer and team member in a sophisticated enterprise exploitation environment? Would you like to make an immediate and direct impact in your job? Join a dedicated team supporting the UDS contract at NGA.
Responsibilities:

WHAT SKILLS DO YOU NEED?

Clearance: Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly is required upon application for initial consideration This position is not open for any clearance upgrades or sponsorship.

Education/Experience:

• Requires Bachelor or Master’ Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
• 5+ years of relevant experience

REQUIRED SKILLS:

• 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.
• Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
• Demonstrated professional or academic experience using Python to queryy and retrieve imagery from S3 compliant API’s perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.
• Demonstrated professional or academic 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.
• Demonstrated professional or academic experience with version control systems such as Gitlab.
• Demonstrated experience leveraging CUDA for GPU accelerated computing.

• Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.
• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions.
• You will be at the cutting edge of implementing 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.
  Qualifications: