Junior/Mid Computer Vision Engineer — Growth & Flex

AgileEngine, LLC.; Boca Raton (FL); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is looking for 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 and evaluation jobs, and maintain benchmarks, contributing to production readiness.

The role offers a clear growth path into applied modeling or MLOps, with mentorship and hands-on AI experience in a fast‑paced environment and diverse projects.

Qualifications

• Authorized to work in the US with no sponsorship.
• 1–3 years of experience in software engineering, data science, ML or related field.
• Degree in CS/DS/Engineering/Math or related discipline (or equivalent practical experience).
• US-based engineers must reside in Dallas, TX and be onsite.
• Foundational coding skills in Python.
• Foundational understanding of ML concepts and workflows.
• Basic knowledge of computer vision principles.
• Basic familiarity with cloud environments and compute resources.

Responsibilities

• Curate large-scale image and video datasets and manage labeling workflows.
• Run model training and evaluation jobs with efficient experiments.
• Document training results and track model performance over time.
• Collaborate with senior engineers to analyze failure cases and plan improvements.
• Own foundational tasks supporting the AI/ML lifecycle to speed production deployments.

Skills

Python

ML concepts

Computer vision basics

Dataset curation

Model training

Data labeling workflows

Experiment tracking

Education

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

Job description

AgileEngine is looking for 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 and evaluation jobs, and maintain benchmarks, contributing to production readiness.

The role offers a clear growth path into applied modeling or MLOps, with mentorship and hands-on AI experience in a fast‑paced environment and diverse projects.