Junior/Mid Computer Vision Engineer — Flexible, Remote

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

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. 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 and evaluation jobs, and document results while collaborating with senior engineers on failure-case analysis. A clear growth path into applied modeling or MLOps awaits an early-career engineer who wants hands-on AI experience.

Qualifications

• 1-3 years of experience in software engineering, data science, machine learning, or a related field
• Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience)
• Authorized to work for ANY employer in the US (visa sponsorship not provided)
• Foundational knowledge of machine learning concepts and workflows
• Foundational knowledge of computer vision principles and image/video processing

Responsibilities

• Curate large-scale image and video datasets, manage labeling processes and workflows
• Run model training and evaluation jobs, ensuring experiments run smoothly
• Document training results and maintain evaluation benchmarks
• Collaborate with senior engineers to analyze model failure cases and identify data/algorithm improvements
• Take ownership of foundational tasks supporting the AI/ML lifecycle for production deployments

Skills

Python

Data science

Machine learning

Computer vision

Software engineering

Education

Bachelor's degree in Computer Science or related field

Job description

AgileEngine, LLC. 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 and evaluation jobs, and document results while collaborating with senior engineers on failure-case analysis. A clear growth path into applied modeling or MLOps awaits an early-career engineer who wants hands-on AI experience.