Senior Data Vision Engineer
Descrição da Vaga
Join our team as a **Senior Data Vision Engineer**, focusing on the application of advanced computer vision and automation technologies to create cutting\-edge track and trace solutions. Work alongside autonomous robots and collaborative robots to enhance palletization and drive innovation in AI\-powered logistics systems. Apply now to help reshape automated logistics through your expertise. **Responsibilities** * Design computer vision solutions for object recognition using algorithms such as YOLO and RCNN * Implement machine learning models within scalable cloud infrastructure * Develop intelligent automation workflows and robotic process automation systems * Collaborate with multidisciplinary teams to integrate autonomous and collaborative robots * Optimize palletization efficiency by leveraging advanced automation technologies * Maintain and update deployed ML models using Docker and related container tools * Evaluate system performance and resolve technical challenges * Document workflows and provide technical assistance as required * Keep up to date with the latest advancements in computer vision and automation technologies **Requirements** * Minimum 3 years of experience in machine learning engineering with a focus on computer vision * Proficient in Python programming language * Experience deploying ML models using Docker or similar container platforms * Knowledge of cloud computing environments, especially Microsoft Azure * Strong understanding of object detection methods including YOLO and RCNN * Ability to work effectively in team\-oriented settings * Excellent attention to detail and problem\-solving aptitude * English language proficiency at upper\-intermediate level (B2\+) **Nice to have** * Experience with robotic process automation and intelligent automation systems * Familiarity with autonomous and collaborative robotic technologies * Understanding of logistics automation and palletization processes * Certification in Microsoft Azure
Vaga originalmente publicada em: indeed
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