Senior Computer Vision Engineer — Remote AI/ML Lead

AgileEngine; Blacksburg (SC); Hybrid; USD 120,000 - 160,000; 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 computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis.

You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras,

Qualifications

• 3–5 years of professional experience in computer vision, machine learning, or a related field.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline.
• Authorized to work in the US; must be onsite in Dallas, TX and open to working from the office.

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, sensors, and edge device compute power to ensure robust production performance.

Skills

Python

PyTorch

TensorFlow

Computer Vision

Machine Learning

Data Science

Edge devices

English

Education

Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline

Job description

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

You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras,