Senior Computer Vision Engineer — Flexible, Impactful AI/ML

AgileEngine, LLC.; Tampa (FL); 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. is seeking a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases. You will build and deploy solutions for object detection, segmentation, classification, and video analysis using PyTorch and TensorFlow.

You will evaluate architectures, fine-tune models, and consider real-world constraints like edge device compute and camera hardware to ensure production-grade performance.

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).
• US work authorization; must be eligible to work in the US without sponsorship.

Responsibilities

• Own the applied model development process across computer vision, AI/ML, and data science use cases.
• Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.
• Evaluate model options, train and fine-tune architectures, and analyze model performance.
• Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis.
• Apply knowledge of hardware constraints and edge devices to ensure data quality and robust production models.

Skills

Python

Computer Vision

Machine Learning

Data Science

Edge devices

Model deployment

Education

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

Tools

PyTorch

TensorFlow

Job description

AgileEngine, LLC. is seeking a Senior Computer Vision Engineer to own applied model development across CV, ML, and data science use cases. You will build and deploy solutions for object detection, segmentation, classification, and video analysis using PyTorch and TensorFlow.

You will evaluate architectures, fine-tune models, and consider real-world constraints like edge device compute and camera hardware to ensure production-grade performance.