Junior Computer Vision Engineer — Remote Growth in ML & CV

AgileEngine; Miami (FL); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine 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-case analysis, with a growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

Qualifications

• 1–3 years in software engineering, data science, or ML.
• Degree in CS, Data Science, Engineering, Mathematics, or related field.
• Foundational Python coding skills.
• Understanding of ML concepts and computer vision basics.
• Willingness to learn in a mentorship-driven environment.
• Upper-intermediate English proficiency.

Responsibilities

• Curate large-scale image and video datasets with labeling workflows.
• Run model training and evaluation jobs and document results.
• Maintain benchmarks and track model performance over time.
• Collaborate with senior engineers on failure-case analysis.
• Own foundational tasks supporting AI/ML lifecycle for deployments.

Skills

Python

Machine Learning

Software Engineering

Data Science

English

Computer Vision basics

Cloud computing

Education

B.S. in Computer Science / Data Science / Engineering

Related discipline or equivalent experience

Job description

AgileEngine 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-case analysis, with a growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.