Senior Computer Vision Engineer — Edge AI & Real‑World Vision

AgileEngine; Tallahassee (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases. You will build and deploy solutions for object detection, segmentation, and video analysis while evaluating architectures with PyTorch and TensorFlow.

You will work on turning complex business problems into scalable AI/ML solutions, considering edge devices, lighting, and sensor constraints to ensure high-quality data and robust production models.

Qualifications

• 3 to 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.
• Authorized to work in the US with no visa sponsorship available; onsite required for Dallas, TX.

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 model options, train and fine-tune architectures, and analyze performance.
• Develop and deploy solutions for object detection, image segmentation, classification, and video analysis.
• Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and data analysis.
• Consider real-world constraints like lighting, sensors, and edge device compute power to ensure robust production models.

Skills

Python

Computer Vision

PyTorch

TensorFlow

Machine Learning

Data Science

Edge devices

Cameras/Sensors/Lights

English

Education

Bachelor's degree in Computer Science or related

Tools

PyTorch

TensorFlow

Edge deployment

Job description

AgileEngine is seeking a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases. You will build and deploy solutions for object detection, segmentation, and video analysis while evaluating architectures with PyTorch and TensorFlow.

You will work on turning complex business problems into scalable AI/ML solutions, considering edge devices, lighting, and sensor constraints to ensure high-quality data and robust production models.