Junior Computer Vision Engineer — ML & Data Ops Growth

AgileEngine, LLC.; United States; On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Mentorship

Education budget

Team activities

Flexible schedule

Job summary

AgileEngine LLC in Jacksonville, FL 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 and manage annotation workflows, run training and evaluation jobs, document results, and collaborate with senior engineers on failure-case analysis, with a growth path into applied modeling or MLOps.

Qualifications

• Authorization to work in the United States without sponsorship.
• 1 to 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).
• Onsite work eligibility in the United States (onsite in-office).

Responsibilities

• Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure dataset quality.
• Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently.
• Document training results, maintain ongoing evaluation benchmarks, and track model performance over time.
• Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement.
• Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, contributing to production deployments.

Skills

Python

Machine Learning

Computer Vision

Data Quality

Cloud Computing

Documentation

Collaboration

Education

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

Tools

TensorFlow

PyTorch

Job description

AgileEngine LLC in Jacksonville, FL 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 and manage annotation workflows, run training and evaluation jobs, document results, and collaborate with senior engineers on failure-case analysis, with a growth path into applied modeling or MLOps.