Define the project's technical strategy, developing and communicating a clear, strategic vision for the application of Machine Learning, Artificial Intelligence, and Data Science within the institution;
Guide the development of advanced models, supervising the team in creating statistical and machine learning models using modern, advanced techniques;
Design and implement architectures for innovative solutions on Network as a Service (NaaS) platforms, focusing on integrating AI and ML techniques;
Conduct in-depth studies and analyses of architectures, data, platforms, and AI/ML tools, providing valuable insights to support decision-making;
Prepare comprehensive strategic and technical documentation for proposed and adopted solutions, ensuring project understanding and traceability;
Lead the QA team, providing guidance and support to ensure the reliability and robustness of implemented solutions;
Perform proactive technical reviews, examine developed code, and ensure it complies with technology best practices while promoting continuous improvement;
Act as a knowledge multiplier, providing technical support and mentorship to colleagues and fostering team development.

Bachelor's degree in a technology-related field, preferably in Computer Engineering, Information Systems, or Computer Science;
Experience with programming languages Python or Go;
Statistical methods for data analysis;
Development of Machine Learning/Deep Learning algorithms;
Microservices architecture;
Modern web application development;
High-volume databases (relational, NoSQL, data lake, or data warehouse);
Knowledge of Keras, PyTorch, and TensorFlow;
MLOps;
Cloud platforms (AWS or Azure);
CI/CD;
Development best practices;
Agile methodologies;
Advanced English for reading and writing and intermediate for speaking.

PDI SW – Technical Lead III, Artificial Intelligence

Key skills