Machine Learning Engineer

$89,500 - $188,000/Yr

CACI International - Burke, VA

Full-time - Mid Level

Burke, VA

Professional, Scientific, and Technical Services

About the position

CACI is seeking a Senior Machine Learning Engineer to support intelligence customers in Springfield, VA/St. Louis, MO. The role involves developing and maintaining Platform as a Service (PaaS) capabilities across multiple security domains using Agile methodologies. The engineer will work on cutting-edge solutions tailored to client requirements, focusing on multimodal deep learning solutions and enhancing analytic workflows through advanced computer vision techniques.

Responsibilities

• Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines.
• Implement State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for image retrieval and segmentation tasks.
• Conduct AI-assisted labeling, object detection, and visual question answering using geospatial datasets.
• Support multiple tenants in deploying various application stacks and data services.

Requirements

• Bachelor or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience.
• 5+ years of experience in machine learning and computer vision.
• Experience applying transfer learning and knowledge distillation methodologies.
• Experience building secure containerized Python applications with CI/CD pipelines.
• Proficient in Python for querying and retrieving imagery from S3 compliant APIs.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with version control systems like GitLab and leveraging CUDA for GPU computing.
• Active TS/SCI w/ CI Poly.

Nice-to-haves

• Experience with the HuggingFace Transformers library and OpenShift.
• Familiarity with Vision Transformers (ViT) such as DINO or DeiT.
• Experience with Explainable AI (XAI) techniques and Open Neural Net Exchange (ONNX).
• Experience in building custom operators with the operator-sdk and developing Kubernetes Custom Resource Definitions (CRD).
• Go programming language experience.

Benefits

• Healthcare coverage
• Wellness programs
• Financial benefits
• Retirement plans
• Family support
• Continuing education opportunities
• Flexible time off benefits