Job Summary: Lead AI and data teams at a technology-driven company, working on complex projects that integrate software, hardware, and artificial intelligence to achieve high performance and continuous innovation. Key Highlights: 1. Integration of software, hardware, firmware, and artificial intelligence 2. Leadership of AI and data technical teams 3. Multidisciplinary environment focused on innovation and high performance A technology-driven company with strong cross-team integration among **software, hardware, firmware, and artificial intelligence**, engaged in complex projects—potentially involving **embedded systems, intelligent devices, and continuous innovation**. A multidisciplinary environment emphasizing high performance, scalability, and solution reliability. **Responsibilities:** * Coordinate AI and data analytics projects, ensuring alignment with strategic objectives and business value generation. * Lead the AI and data team, organizing planning, priorities, resource allocation, and performance tracking. * Serve as a bridge between AI, software, and hardware teams, ensuring technical integration and end-to-end execution efficiency. * Define and maintain AI technical roadmaps aligned with innovation, operational efficiency, and business opportunities. * Translate business requirements into prioritized initiatives, focusing on impact, ROI, and scalability. * Ensure technical quality, governance, ethics, and regulatory compliance of AI solutions. * Monitor project performance metrics (e.g., model accuracy, timeline adherence, ROI), reporting results to leadership. * Promote continuous team development, reinforcing a culture of collaboration, learning, and technical accountability. * Elevate organizational maturity in data and AI through processes, standards, and best practices. **Requirements:** * Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related fields. * Minimum 5 years of experience in AI/ML, including at least 2 years leading technical teams. * Solid knowledge of Machine Learning, Deep Learning, LLMs, and RAG architectures. * Proficiency in Python and SQL (R is desirable), with experience in frameworks such as TensorFlow, PyTorch, or Scikit-learn. * Practical experience with MLOps, experiment and dataset tracking (e.g., MLflow, DVC, or similar tools). * Familiarity with cloud AI platforms (AWS, Google Cloud, or Azure). * Experience managing technical projects using Agile/Scrum methodologies. * Intermediate/advanced English for technical reading and writing. * Strong analytical ability, clear communication skills, and capability to integrate across technical domains. **Technical Differentiators:** * Experience with LLM fine-tuning and frameworks such as LangChain or Hugging Face. * Experience in R&D environments and hardware-software integration. * Knowledge of DataOps pipelines (e.g., dbt, Airflow). * Experience in computer vision or embedded/edge AI. * Participation in external collaborative projects or technical partnerships. * Certifications in AI or project management. * Open-source contributions, publications, or participation in technical conferences. * Familiarity with AI-powered productivity tools. **Other Information:** * Employment type: CLT * Work mode: Remote Job Type: Full-time CLT Compensation: Up to R$16.000,00 per month Work Location: Remote