Senior Computer Vision Engineer — Edge AI Solutions

AgileEngine, LLC.; Austin (TX); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, an Inc. 5000 company, seeks a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases. You will evaluate architectures using PyTorch and TensorFlow, deploy solutions for object detection, segmentation, classification, and video analysis, and address edge-device constraints in production.

Ideal candidates have 3–5 years in CV/ML, a degree in CS/Engineering/DS, and US work authorization; Dallas-based onsite work is preferred.

Qualifications

• 3–5 years of professional experience in computer vision, ML, or data science.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience).
• Experience with edge devices and production systems is a plus.

Responsibilities

• Own the applied model development across computer vision, AI/ML, and data science use cases.
• Evaluate models, train and fine-tune architectures, and analyze performance.
• Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.
• Build models for forecasting, anomaly detection, regression, clustering, and general data analysis.
• Apply knowledge of real-world constraints like lighting, sensors, and edge-device compute power.

Skills

Computer Vision

Machine Learning

Data Science

Python

Education

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

Tools

PyTorch

TensorFlow

Job description

AgileEngine, an Inc. 5000 company, seeks a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases. You will evaluate architectures using PyTorch and TensorFlow, deploy solutions for object detection, segmentation, classification, and video analysis, and address edge-device constraints in production.

Ideal candidates have 3–5 years in CV/ML, a degree in CS/Engineering/DS, and US work authorization; Dallas-based onsite work is preferred.