Senior Computer Vision Engineer — Edge AI & Flexible Hours

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

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine seeks 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 detection, segmentation, classification, and video analysis, leveraging PyTorch and TensorFlow, while considering hardware such as cameras, sensors, and edge devices.

You will evaluate architectures, fine-tune models, and translate complex business problems into scalable AI/ML solutions with strong emphasis on real-world data

Qualifications

• 3 to 5+ years of professional experience in Computer Vision, ML, Data Science, or related field.
• US work authorization required, no visa sponsorship provided.
• Strong Python proficiency and production experience with CV/ML tools.
• Experience with PyTorch and/or TensorFlow in real-world deployments.

Responsibilities

• Own the applied model development process across computer vision, AI/ML, and data science use cases.
• Translate complex business problems into viable, practical, scalable AI/ML solutions.
• Evaluate model options, train and fine-tune architectures, and analyze performance.
• Develop and deploy solutions for object detection, segmentation, classification, and video analysis.
• Build models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis.
• Account for real-world constraints like lighting, sensors, and edge compute power to ensure robust production performance.

Skills

Python

PyTorch

TensorFlow

Computer Vision

ML/DL

Education

Bachelor's degree in Computer Science or related field

Tools

Edge devices

Cameras and sensors

Job description

AgileEngine seeks 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 detection, segmentation, classification, and video analysis, leveraging PyTorch and TensorFlow, while considering hardware such as cameras, sensors, and edge devices.

You will evaluate architectures, fine-tune models, and translate complex business problems into scalable AI/ML solutions with strong emphasis on real-world data