Machine Learning Engineer

Abile Group - Springfield, VA

Full-time - Mid Level

Springfield, VA

Professional, Scientific, and Technical Services

About the position

The Machine Learning Engineer at Abile Group will work on a long-term contract to support the Intelligence Community by developing innovative user-facing and data center IT services. This role involves rapidly prototyping multimodal deep learning solutions and data pipelines to enhance GeoAI capabilities, focusing on state-of-the-art computer vision and vision language models for various geospatial datasets.

Responsibilities

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines.
• Implement state-of-the-art computer vision and vision language models for image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering.
• Utilize geospatial datasets such as satellite and aerial imagery, full-motion video, ground photos, and OpenStreetMap.

Requirements

• Active or reinstatable TS/SCI clearance with the ability to pass a CI Poly.
• Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience.
• 5+ years of experience in relevant fields.
• Experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained models.
• Experience building secure containerized Python applications, including hardening and automating builds using CI/CD pipelines.
• Experience using Python to query and retrieve imagery from S3 compliant APIs and perform image preprocessing with libraries like Boto3 and NumPy.
• Experience with deep learning frameworks such as PyTorch or TensorFlow for optimizing CNNs for object detection or segmentation tasks.
• Experience with version control systems such as GitLab.
• Experience leveraging CUDA for GPU accelerated computing.

Nice-to-haves

• Experience with the HuggingFace Transformers library and hub.
• Experience with OpenShift and container orchestration within Kubernetes.
• Experience with Vision Transformers such as DINO or DeiT.
• Experience communicating methodological choices and model results.
• Experience with verification and validation test benches.
• Experience with Explainable AI techniques.
• Experience with Open Neural Net Exchange (ONNX).

Benefits

• Equal Opportunity Employer
• Reasonable accommodations for applicants with disabilities