Junior/Middle Computer Vision Engineer ID72410

AgileEngine, LLC.; Baltimore (MD); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine in Baltimore, MD is seeking a Junior/Middle Computer Vision Engineer to support the AI team with large-scale image and video datasets. You will curate annotation workflows, run model training and evaluation jobs, and maintain benchmarks, collaborating with senior engineers on failure-case analysis.

This is an early-career role with a clear growth path into applied modeling or MLOps. You must have 1–3 years in software engineering, data science, or ML, and a degree in CS/Data

Qualifications

• 1 to 3 years of experience in software engineering, data science, ML, or related field.
• Degree in CS/Data Science/Engineering or equivalent practical experience.
• Engineers in the US must reside in Dallas, TX and be willing to work onsite.

Responsibilities

• Curate large-scale image and video datasets, manage labeling workflows, ensure data quality.
• Run model training and evaluation jobs, ensure experiments run smoothly.
• Document training results, maintain evaluation benchmarks, track model performance.
• Collaborate with senior engineers to analyze failure cases and identify improvements.
• Own foundational tasks that support the AI/ML lifecycle for production deployments.

Skills

Python

Machine Learning basics

Data labeling workflows

Dataset management

Education

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

Tools

Cloud platforms (AWS/Azure)

Job description

Full time | AgileEngine | United States

Posted On 08/20/2026

Job Information

City Baltimore

State/Province Maryland

21201

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO

• Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for 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, directly contributing to the speed and success of production deployments.

MUST HAVES

• You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
• 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);
• Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
• Foundational coding skills in Python;
• Foundational understanding of machine learning concepts and workflows;
• Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
• Basic familiarity with cloud environments and compute resources;
• A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
• Excellent attention to detail, specifically regarding data quality and documentation;

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.