Senior Computer Vision Engineer — Remote-Eligible

AgileEngine; Austin (TX); On-site; USD 120,000 - 170,000; 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 CV, ML, and data science use cases. You will build and deploy solutions for detection, segmentation, classification, and video analysis with PyTorch and TensorFlow.

You will evaluate architectures, fine-tune models, and consider edge device constraints while delivering scalable AI/ML solutions for real-world applications in a US-based environment.

Qualifications

• 3 to 5 years of professional experience in Computer Vision, ML, Data Science, or a related field.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience).
• Strong proficiency in Python.
• Hands-on experience with PyTorch and/or TensorFlow.
• Experience with CV hardware including cameras, sensors, and lighting setups.
• Familiarity deploying models on edge devices.
• Upper-intermediate English.

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 model options, train and fine-tune architectures, and 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 real-world constraints to ensure data quality and robust model performance in production.

Job description

AgileEngine 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 detection, segmentation, classification, and video analysis with PyTorch and TensorFlow.

You will evaluate architectures, fine-tune models, and consider edge device constraints while delivering scalable AI/ML solutions for real-world applications in a US-based environment.