Senior Computer Vision Engineer - Remote/Flex Time

AgileEngine, LLC.; Fort Lauderdale (FL); Hybrid; 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 for CV, ML, and data science across object detection, segmentation, classification, and video analysis.

You will evaluate model architectures with PyTorch and TensorFlow, build broader ML models, and apply hardware knowledge of cameras, sensors, and edge devices to production-ready solutions.

Qualifications

• 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or a 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 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, sensor limitations, and edge device compute power to ensure optimal data quality and robust model performance in production.

Skills

Python

Computer Vision

Machine Learning

Data Science

Edge devices

Time-series modelling

Education

CS degree

Engineering degree

Data Science degree

Math degree

Tools

PyTorch

TensorFlow

Job description

AgileEngine, LLC. is seeking a Senior Computer Vision Engineer to own applied model development for CV, ML, and data science across object detection, segmentation, classification, and video analysis.

You will evaluate model architectures with PyTorch and TensorFlow, build broader ML models, and apply hardware knowledge of cameras, sensors, and edge devices to production-ready solutions.