Senior Computer Vision Engineer - Hybrid ML & Edge Deployment

AgileEngine, LLC.; Orlando (FL); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, a leading software company, is seeking a Senior Computer Vision Engineer in the US. You will own applied model development across computer vision, ML, and data science use cases, building solutions for object detection, segmentation, and video analysis.

You will evaluate model architectures using PyTorch and TensorFlow, work with edge devices and cameras, and translate complex problems into scalable AI/ML solutions.

Qualifications

• 3–5 years of professional experience in Computer Vision, ML or Data Science.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or related discipline (or equivalent practical experience).
• US work authorization; engineers in the US must reside in Dallas, TX and be onsite.

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.

Skills

Python

PyTorch

TensorFlow

Computer Vision

ML / Data Science

Edge devices

Education

BSc in CS/Engineering/Data Science

Tools

PyTorch

TensorFlow

Python

Job description

AgileEngine, a leading software company, is seeking a Senior Computer Vision Engineer in the US. You will own applied model development across computer vision, ML, and data science use cases, building solutions for object detection, segmentation, and video analysis.

You will evaluate model architectures using PyTorch and TensorFlow, work with edge devices and cameras, and translate complex problems into scalable AI/ML solutions.