Machine Learning Systems Designer | Fortaleza

Description

Job Summary: This role involves designing and developing embedded systems with Machine Learning, defining architectures, translating business needs into technological solutions, and serving as a technical mentor. Key Highlights: 1. Design and develop ML systems from concept to implementation. 2. Define scalable and robust ML system architectures. 3. Serve as a technical mentor and disseminate knowledge. Description: Basic requirements include: * Completed undergraduate degree in Telecommunications Engineering, Mechanical Engineering, Computer Science, or related fields; * Solid experience in ML system development and architecture, covering all phases of the project lifecycle; * Advanced knowledge of Linux (development/configuration for embedded systems); * Advanced proficiency in programming languages such as Python (for ML) and C/C\+\+ (for embedded systems and performance optimization); * Ability to select and optimize hardware and software platforms for ML applications, considering resource constraints (memory, processing power, energy); * Experience integrating ML software with embedded system components (sensors, actuators, user interfaces); * Familiarity with Machine Learning frameworks (e.g., TensorFlow, PyTorch) and MLOps practices. What we seek in you? * Strong logical reasoning, attention to detail, excellent problem-solving ability, and proactivity. * Strong focus on results and people, innovative mindset, and ability to collaborate across teams and departments. As an Embedded Systems Designer, your focus will be on: * Designing and developing systems utilizing Machine Learning algorithms, from concept to implementation, ensuring integration with company products; * Actively participating in defining ML system architectures, ensuring scalability, robustness, and optimization for embedded environments; * Deeply understanding business needs and translating them into new technological solutions, closely collaborating with leadership; * Proactively identifying and evaluating business risks and opportunities related to ML projects, proposing strategies for mitigation and exploitation; * Providing strategic support to coordination in planning project schedules, teams, and budgets for new product development and technological innovation; * Serving as a technical mentor for the team, exercising influence and guidance, and disseminating technical and business knowledge through training sessions, workshops, and documentation; * Ensuring continuous optimization of equipment and system performance and availability through monitoring, updates, and critical analysis. 2512050202181905039