Machine Learning Engineer

4 weeks ago


Springfield, Illinois, United States INflow Federal Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at INflow Federal. As a key member of our AI/ML team, you will be responsible for designing and developing cutting-edge AI/ML solutions for our DoD customers.

Key Responsibilities:

  • Design and develop containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities
  • 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
  • Collaborate with cross-functional teams to integrate AI/ML solutions into our customers' workflows

Requirements:

  • 2+ years of experience in applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models
  • Experience with secure containerized Python applications, including hardening, scanning, and automating builds using CI/CD pipelines
  • Proficiency in Python and experience with deep learning frameworks such as PyTorch or Tensorflow
  • Experience with version control systems such as Gitlab
  • Experience with CUDA for GPU accelerated computing

Preferred Qualifications:

  • Experience with the HuggingFace Transformers library and hub
  • Experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators
  • Experience with Vision Transformers (ViT) such as DINO or DeiT

What We Offer:

  • A dynamic and collaborative work environment
  • Opportunities to work on high-impact projects and contribute to the development of cutting-edge AI/ML solutions
  • A competitive salary and benefits package

INflow Federal is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and supportive work environment that values diversity and promotes equal opportunities for all employees and applicants.



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