Junior/Middle Computer Vision Engineer (Guadalajara)

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.

Requirements

• 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 and understanding of basic 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.
• Strong, demonstrable willingness to learn and adapt in a fast‑paced, mentorship‑driven environment.
• Excellent attention to detail, specifically regarding data quality and documentation.
• Upper‑intermediate English level.
• For US candidates, reside in Dallas, TX and be willing to work onsite.

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: Versatile schedule with remote and office options.