Senior Computer Vision Engineer - Edge AI & Vision

AgileEngine, LLC.

Virginia

On-site

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Professional growth
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Job summary

AgileEngine, LLC. is seeking a Senior Computer Vision Engineer in Blacksburg, VA to own applied model development across CV/ML tasks, including object detection, segmentation, classification, and video analysis.

You will optimize architectures with PyTorch/TensorFlow and deploy ML models on edge devices in production. The role requires 3–5 years in CV/ML/DS, a CS/engineering/Data Science degree, and onsite work in the US with strong Python skills.

Qualifications

  • 3–5 years of professional experience in Computer Vision, ML, Data Science, or a related field.
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience).
  • Engineers located in the US must reside in Dallas, TX and be open to onsite work.

Responsibilities

  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases.
  • Translate complex business problems into viable, practical, and scalable AI/ML solutions.
  • Evaluate various model options, train and fine-tune selected architectures, and analyze model performance.
  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.
  • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis.
  • Apply knowledge of real-world constraints—lighting, sensors, edge device compute power—to ensure data quality and robust production performance.

Skills

Python
PyTorch
TensorFlow
Computer Vision
Machine Learning
Data Science
Edge devices

Education

B.S. in Computer Science, Engineering, Data Science or related field

Tools

PyTorch
TensorFlow

Job description

AgileEngine, LLC. is seeking a Senior Computer Vision Engineer in Blacksburg, VA to own applied model development across CV/ML tasks, including object detection, segmentation, classification, and video analysis.

You will optimize architectures with PyTorch/TensorFlow and deploy ML models on edge devices in production. The role requires 3–5 years in CV/ML/DS, a CS/engineering/Data Science degree, and onsite work in the US with strong Python skills.

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