Senior Computer Vision Engineer — Remote & Flexible

AgileEngine, LLC.; Jacksonville (FL); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases—building and deploying solutions for object detection, image segmentation, classification, and video analysis.

You will evaluate architectures with PyTorch and TensorFlow, develop broader ML models, and apply knowledge of cameras, sensors, and edge devices to ensure robust data quality in production.

Qualifications

• ,

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 rigorously 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 practical knowledge of real-world constraints - such as lighting, sensor limitations, and edge device compute power to ensure optimal data quality and robust model performance in production.

Skills

Python

PyTorch

TensorFlow

Computer Vision

Machine Learning

Data Science

Education

Bachelor's or higher in Computer Science/Engineering/Data Science/Mathematics

Job description

AgileEngine, LLC. is seeking a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases—building and deploying solutions for object detection, image segmentation, classification, and video analysis.

You will evaluate architectures with PyTorch and TensorFlow, develop broader ML models, and apply knowledge of cameras, sensors, and edge devices to ensure robust data quality in production.