Senior Computer Vision Engineer: Edge AI & Vision Systems

AgileEngine, LLC.; Baltimore (MD); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is a fast-growing Inc. 5000 company seeking a Senior Computer Vision Engineer to own applied model development across CV/ML use cases—building and deploying solutions for object detection, image segmentation, classification, and video analysis.

You will evaluate and tune architectures using PyTorch and TensorFlow, and deploy robust models for edge devices. Expect collaboration with cross-functional teams, and deep hands-on work with cameras, sensors, and lighting setups to ensure

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).
• US-based engineers must reside in Dallas, TX and work 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 model options, train and fine-tune architectures, and analyze performance.
• Develop and deploy solutions for object detection, image segmentation, classification, and video analysis.
• Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and data analysis.

Skills

Strong Python proficiency

Computer Vision/ML/DS experience

Deploying models in production

Education

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

Tools

PyTorch

TensorFlow

Edge devices

Job description

AgileEngine is a fast-growing Inc. 5000 company seeking a Senior Computer Vision Engineer to own applied model development across CV/ML use cases—building and deploying solutions for object detection, image segmentation, classification, and video analysis.

You will evaluate and tune architectures using PyTorch and TensorFlow, and deploy robust models for edge devices. Expect collaboration with cross-functional teams, and deep hands-on work with cameras, sensors, and lighting setups to ensure