TSA - Tecnologia de Sistemas de Automação S/A

General

• Provide technical leadership for computer vision and artificial intelligence projects applied to industrial automation and mining.
• Define the solution architectures, technologies, frameworks and development strategies for projects.
• Specify, review and validate computer vision models for detection, classification, segmentation, tracking and analysis of images and video.
• Provide technical support to the development team, serving as a reference in image processing, machine learning and deep learning.
• Define methodologies for dataset preparation, training, validation, testing and continuous improvement of AI models.
• Evaluate model performance, robustness, accuracy and response time, proposing improvements and new approaches when necessary.
• Lead technical reviews of code, architecture and AI models.
• Define development standards, documentation, versioning and best practices for the team’s projects.
• Contribute to the design of solution architectures for Edge AI, on-premises servers and cloud environments.
• Support hardware specification for computer vision processing (GPUs, cameras, embedded devices and servers).
• Conduct proofs of concept (PoCs), technical validations and evaluation of new technologies applied to projects.
• Collaborate with automation, instrumentation, software and industrial process specialists to define optimal technical solutions.
• Participate in technical meetings with clients, assisting in defining scope, requirements and solution architecture.
• Provide technical support for solution deployment in industrial environments and monitor their evolution.
• Promote the team’s technical development by providing mentoring, training and knowledge sharing.
• Monitor advances in computer vision and artificial intelligence technologies and propose adoption when applicable.

Technical Coordinator – Computer Vision, AI