Description
**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