Junior/Mid Computer Vision Engineer — Growth & ML Impact

AgileEngine, LLC.; Tallahassee (FL); On-site; USD 65,000 - 105,000; 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 jobs, and contribute to benchmarks and performance tracking.

This early-career role offers a clear growth path into applied modeling or MLOps, with mentorship from senior engineers and exposure to production deployments in a fast-paced environment.

Qualifications

• 1 to 3 years of experience in software engineering, data science, machine learning, or related field.
• Degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline (or equivalent practical experience).
• Proficient in Python with foundational ML concepts and workflows.
• Basic knowledge of computer vision principles and image/video processing.
• Experience with cloud environments and compute resources.
• Willingness to learn in a mentorship-driven environment and strong attention to detail.

Responsibilities

• Curate large-scale image and video datasets and manage labeling workflows.
• Run model training and evaluation jobs and document results.
• Maintain benchmarks and track model performance over time.
• Collaborate with senior engineers to analyze failure cases and data improvements.
• Support the AI/ML lifecycle to accelerate production deployments.

Skills

Python

Machine learning concepts

Data science

Software engineering

Attention to detail

Willingness to learn

Cloud environments

Education

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

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 jobs, and contribute to benchmarks and performance tracking.

This early-career role offers a clear growth path into applied modeling or MLOps, with mentorship from senior engineers and exposure to production deployments in a fast-paced environment.