Research and Development Engineer (Computer Vision)

Description

Job Summary: Develop advanced computer vision algorithms and implement machine learning models for image classification and segmentation, optimizing them for embedded hardware. Key Highlights: 1. Focus on Computer Vision, Machine Learning, and Deep Learning 2. Development of algorithms for detection and classification in agriculture 3. Optimization of models for execution on embedded hardware **Mandatory Requirements:** * Bachelor's degree in Computer Engineering; Control and Automation Engineering; Electrical Engineering; or related engineering fields; * Advanced knowledge of Artificial Intelligence: Machine Learning and Deep Learning, with a focus on Computer Vision; * Advanced proficiency in Python and AI libraries (OpenCV, PyTorch and/or TensorFlow); * Intermediate knowledge of C\+\+ for embedded system integration; * Familiarity with robotics libraries such as ROS / ROS2; * Knowledge of containerization and system integration (Docker); * Practical experience with software version control using GIT; * Experience with cloud computing platforms (AWS, Azure, or GCP); * Intermediate English (technical reading and writing); * Willingness to travel; **Desirable Requirements:** * Currently pursuing or recently completed Master's degree (final year or graduated); * Knowledge of agricultural machinery and farming operations; * Experience in building, maintaining, and ensuring dataset quality; * Experience with model evaluation and best practices in validation. **Responsibilities:** * Develop computer vision algorithms for detecting and classifying crops, weeds, and pests, including autonomous navigation and post\-processing of orthomosaics; * Specify sensors and video processing units, performing pre\-processing and dataset analysis; * Implement machine learning models for image classification and segmentation, applying sound data management practices; * Conduct neural network testing and validation, evaluating metrics and technical requirements; * Optimize models for execution on embedded hardware and support integration with demanding systems; * Participate in creating training pipelines, dataset selection, and annotation processes for robust and generalizable models. Employment Type: Full-time, Direct Hire (CLT) Compensation: Starting from R$11\.000,00 per month Benefits: * Medical insurance * Dental insurance * Education allowance * Profit-sharing program * Private pension plan Selection Question(s): * Do you have advanced knowledge of Artificial Intelligence: Machine Learning and Deep Learning, with a focus on Computer Vision? * Are you available to work 100% onsite in Pompéia/SP? Education: * Bachelor's degree required (Mandatory) Work Location: Onsite