Junior/Middle Computer Vision Engineer ID72410

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

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;

Upper-intermediate English level.

Perks and benefits

Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.

Job Type: Full-time

Work Location: Remote