Junior/Middle Computer Vision Engineer ID72410
AgileEngine, LLC.
Full time | AgileEngine | Mexico
Posted On 06/23/2026
Job Information
City: Monterrey
State/Province: Nuevo León
64000
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 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
- 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)
- 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, tech talks, 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
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