Computer Vision Engineer

1 semana atrás


São Paulo, Estado de São Paulo, Brasil Aravita Tempo inteiro

About AravitaAt Aravita, we are on a mission to solve one of the world's biggest challenges: fresh food waste. Our AI-powered platform uses intelligent forecasting and order recommendations to optimize fresh food operations, reduce overstocking, and minimize out-of-stock items. We are a passionate, innovative team looking for a new member to help us build this fresh-focused technology and be part of a positive change.The RoleWe are looking for a highly-motivated Computer Vision Engineer to join our AI team. This is a hands-on role where you will be responsible for building, training, and deploying the computer vision models at the heart of our next-generation retail analytics platform.Your primary mission will be to analyze images from grocery store shelves to perform:SKU & Planogram Recognition: understand what products are where on the shelf.Quantity Estimation & Stockout Detection: accurately count or estimate product quantities and automatically detect empty spaces.This role is perfect for a problem-solver and a quick learner who is obsessed with shipping code and seeing their models create real-world impact. The outputs you build will be a critical input for our core forecasting and logistics models.What You'll Be DoingBuild & Train: design and train deep learning models for object detection, image classification, and segmentation in a complex, real-world retail environment.Critically Think & Evaluate: you won't just build—you'll analyze. You will benchmark and integrate custom models (e.g., YOLO) against third-party AI services (like Google Vertex AI and Azure AI Vision) to find the best-fit solution for the problem.Master the Data: work with large, imbalanced, and often challenging image datasets and develop clever strategies for data augmentation and annotation.Collaborate & Deploy: work closely with our data science and engineering teams to deploy your models into a scalable production environment.Our Ideal CandidateIs a problem-solver first. You are excited by a complex challenge and have the critical thinking skills to break it down.Is a fast learner. You might not know every tool on day one, but you have the fundamentals and drive to learn them quickly.Is hands-on and results-oriented. You have a bias for action and a passion for building and shipping solutions.Has strong Python skills and hands-on experience with a major ML framework like PyTorch or TensorFlow.Has a solid understanding of computer vision principles and deep learning models (e.g., CNNs, object detection, transfer learning).What You'll Work With (And Learn)This is a fantastic opportunity to get hands-on experience with a state-of-the-art stack. You don't need to be an expert in all of these today, but you should be excited to learn them.Custom Models: YOLO, ResNet, and other SOTA architectures.Core Toolkit: Python, OpenCV, PyTorch/TensorFlow.Cloud AI Services: Google Vertex AI Vision & Azure AI Vision.Emerging Tech: exploring multimodal LLMs for image analysis.MLOps: production model deployment, monitoring, and versioning.Bonus Points (Nice to Have)A personal or academic portfolio of computer vision projects.Experience with managed AI services from Google Cloud or Azure.Familiarity with MLOps tools and best practices.Location: candidates based in or near São Paulo, SP, are preferred for occasional team meetups.


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