Senior Computer Vision Engineer: Edge ML & Vision Systems

AgileEngine, LLC.; Richardson (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC in Dallas, TX seeks 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, segmentation, classification, and video analysis.

You will evaluate model architectures with PyTorch and TensorFlow, optimize for edge devices, and collaborate with engineering teams to deliver robust AI systems for production.

Qualifications

• 3 to 5 years of professional experience in Computer Vision, ML, Data Science, or related field.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline (or equivalent practical experience).

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, sensor limitations, edge device compute power—to ensure data quality and robust production models.

Skills

Python

Computer Vision

Machine Learning

Data Science

Edge devices

PyTorch

TensorFlow

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline

Tools

PyTorch

TensorFlow

Job description

AgileEngine, LLC in Dallas, TX seeks 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, segmentation, classification, and video analysis.

You will evaluate model architectures with PyTorch and TensorFlow, optimize for edge devices, and collaborate with engineering teams to deliver robust AI systems for production.