Machine Learning Systems Designer | Fortaleza

Description

Job Summary: An Embedded Systems Designer who will design and develop systems incorporating machine learning algorithms—from concept to implementation—and integrate them into the company's products. Key Highlights: 1. Participation in all phases of the machine learning project lifecycle. 2. Leading the development of embedded systems with a focus on ML. 3. Technical mentoring and knowledge dissemination in ML and embedded systems. Description: Basic requirements include: * Completed undergraduate degree in Telecommunications Engineering, Mechanical Engineering, Computer Science, or related fields; * Solid experience in developing and architecting machine learning systems, 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? * Sharp logical reasoning, attention to detail, excellent problem-solving ability, and proactivity. * Strong focus on results and people, innovative mindset, and ability to collaborate effectively within teams and across departments. As an Embedded Systems Designer, your responsibilities will include: * Designing and developing systems that utilize machine learning algorithms—from concept to implementation—ensuring their integration with the company's products; * Actively participating in defining ML system architecture, ensuring scalability, robustness, and optimization for embedded environments; * Deeply understanding business needs and translating them into new technological solutions through close collaboration 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 technical mentor to 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