Junior/Mid Computer Vision Engineer - Growth & Mentorship

AgileEngine; Miami (FL); Hybrid; USD 60,000 - 90,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine in the United States is seeking a Junior/Middle Computer Vision Engineer to support data preparation, model training, and evaluation for an AI team handling large-scale image and video datasets.

You will curate annotation workflows, run training jobs, document results, and collaborate with senior engineers on failure analyses. This early-career role offers growth into applied modeling or MLOps with hands-on AI experience.

Qualifications

• 1 to 3 years of experience in software engineering, data science, machine learning, or a related field.
• Foundational Python coding skills.
• Foundational understanding of machine learning concepts and workflows.
• Foundational knowledge of computer vision principles (image processing, object detection basics).
• US-based engineers must reside in Dallas, TX and be open to onsite work.

Responsibilities

• Curate large-scale image and video datasets, manage labeling processes and workflows, ensuring dataset quality.
• Run model training and evaluation jobs, ensuring experiments run smoothly and efficiently.
• Document training results, maintain evaluation benchmarks, and track model performance over time.
• Collaborate with senior engineers to analyze model failure cases and identify improvement opportunities.
• Take ownership of foundational tasks that support the AI/ML lifecycle and production deployments.

Skills

Python

Machine learning concepts

Computer vision basics

Upper-intermediate English

Willingness to learn

Education

Degree in Computer Science, Data Science, Engineering, Mathematics, or related

Tools

Cloud environments

Job description

AgileEngine in the United States is seeking a Junior/Middle Computer Vision Engineer to support data preparation, model training, and evaluation for an AI team handling large-scale image and video datasets.

You will curate annotation workflows, run training jobs, document results, and collaborate with senior engineers on failure analyses. This early-career role offers growth into applied modeling or MLOps with hands-on AI experience.