Junior Computer Vision Engineer – Entry Level

Company DescriptionQSS AI & ROBOTICS is a specialized technology provider focused on Artificial Intelligence, Robotics, and Emerging Technologies. The company delivers complete support solutions, from early planning through project closure, ensuring reliable implementation and long-term success for customers. Its professional services team helps organizations optimize technology investments, reduce business risks, and maximize return on investment. Working closely with leading global technology partners, QSS enables clients to offer value-added services that strengthen and extend customer relationships. QSS has built strong trust and satisfaction among its partners and customers over the years.Job SummaryWe are looking for a Junior Computer Vision Engineer to support the complete development lifecycle of AI computer vision models.The candidate will be responsible for collecting, organizing, cleaning, and annotating image and video datasets, as well as training, testing, and evaluating computer vision models.This is an entry-level position suitable for diploma holders and fresh graduates who are interested in building practical experience in artificial intelligence and computer vision. Previous professional experience is not required.ResponsibilitiesCollect and organize image and video datasets based on project and model requirements.Review, clean, filter, and prepare datasets before annotation and model training.Annotate images and videos using suitable data annotation tools.Review annotations and ensure that labels are accurate, consistent, and complete.Prepare training, validation, and testing datasets.Train computer vision models for object detection, image classification, segmentation, and other related use cases.Test and evaluate model performance.Identify dataset, annotation, and model performance issues.Improve model performance by updating datasets, correcting annotations, and adjusting training configurations.Document datasets, annotation guidelines, training experiments, model versions, and testing results.Prepare trained models and related files for integration and deployment.Support model testing using real images, videos, camera streams, and project scenarios.Work closely with AI engineers, software developers, and project teams.RequirementsDiploma in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.Basic knowledge of Python programming.Basic understanding of artificial intelligence, machine learning, and computer vision concepts.Understanding of image and video datasets and how they are used for model training.Ability to learn and use data annotation and model training tools.Strong attention to detail when reviewing datasets and annotations.Good analytical, troubleshooting, and problem-solving skills.Ability to follow technical instructions and annotation guidelines.Ability to work independently and as part of a technical team.No previous professional experience is required.Preferred QualificationsFamiliarity with YOLO or similar object detection models.Basic knowledge of PyTorch or TensorFlow.Familiarity with OpenCV and image-processing concepts.Experience using annotation tools such as CVAT, Roboflow, Label Studio, or LabelImg.Academic, personal, or graduation projects related to artificial intelligence, machine learning, or computer vision.Candidate ProfileThe ideal candidate is a motivated and detail-oriented diploma holder or fresh graduate who is interested in developing a career in artificial intelligence and computer vision.The candidate should be willing to work across the complete model development process, including data collection, data cleaning, annotation, model training, testing, evaluation, and preparation for deployment.The candidate should be a fast learner, comfortable working with technical tools, and committed to producing accurate datasets and reliable computer vision models.