Data Science Specialist I

Position Mission Develop, implement, and evolve Artificial Intelligence solutions focused on Computer Vision, turning images and videos into strategic business intelligence. Work end-to-end across the Machine Learning model lifecycle, from data exploration and preparation to production deployment and monitoring, ensuring performance, scalability, and value generation for products and customers. Key Responsibilities Develop Computer Vision models for object detection, classification, segmentation, and tracking in images and videos. Design, train, and optimize deep neural networks using modern Deep Learning architectures such as CNNs, Transformers, and generative models. Build and maintain pipelines for visual data preparation, processing, annotation, and augmentation, ensuring the quality of datasets used for training. Perform model experimentation, evaluation, and validation by defining metrics and tracking performance indicators. Apply transfer learning, fine-tuning, and hyperparameter optimization techniques to maximize model efficiency. Develop high-quality, scalable code in Python, adhering to software engineering, versioning, and testing best practices. Implement MLOps processes for versioning, monitoring, packaging, and deploying models in production environments. Work on model optimization and compression for execution in restricted environments