Junior Computer Vision Engineer: Grow into AI/ML & MLOps

AgileEngine; Blacksburg (SC); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine in Dallas, TX is seeking a Junior/Middle Computer Vision Engineer to support high-volume 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 clear growth path into applied modeling or MLOps for an early-career engineer.

Qualifications

• 1–3 years of experience in software engineering, data science, ML, or related field
• Degree in CS/DS/Engineering/Math 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
• Willingness to learn in a mentorship-driven environment
• Attention to data quality and documentation
• Upper-intermediate English level

Responsibilities

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

Skills

Python

Machine Learning

Data Science

Software Engineering

Cloud environments

English (Upper-intermediate)

Education

Degree in Computer Science, Data Science, Engineering, Mathematics

Equivalent practical experience

Job description

AgileEngine in Dallas, TX is seeking a Junior/Middle Computer Vision Engineer to support high-volume 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 clear growth path into applied modeling or MLOps for an early-career engineer.