Junior/Middle Computer Vision Engineer ID72410

Full time | AgileEngine | Mexico

Posted On 06/23/2026

Job Information

City: Querétaro

State/Province: Querétaro

ZIP: 76000

Department: IT Services

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, 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.