R&D; AI Engineer
We are looking for an R&D; AI Engineer to join Bull’s research team, where we design and develop next‑generation AI and information technologies. In this role, you will contribute to the research, development, and industrialization of trustworthy AI solutions, helping to ensure explainability, fairness, robustness, and reliability across AI‑based systems.ResponsibilitiesAnalyse and monitor emerging techniques, methods, and tools related to trustworthy AI, including explainability, fairness, robustness, and transparency.Design, implement, and integrate trustworthy AI tools across Bull’s product portfolio.Productise AI solutions by delivering high‑quality, maintainable software components, including documentation, testing, validation, and deployment‑ready code.Design and develop scalable microservices and integrations using REST APIs.Build prototypes and Proof‑of‑Concepts to validate ideas, gather requirements, and refine solutions.Collaborate closely with multidisciplinary R&D; and engineering teams, applying best practices in software development, version control, testing, and deployment.Education & QualificationsMaster’s or PhD in Computer Science, Artificial Intelligence, Data Science, Telecommunications, or a related technical field.Strong experience with Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn).Proficiency in Python and data science tools.Hands‑on experience with explainable AI and model interpretability techniques.Experience designing and developing scalable software components and services.Familiarity with containerization and orchestration technologies, especially Docker and Kubernetes.Experience with Git‑based version control systems (GitHub, GitLab).Solid experience working in Linux environments.Good understanding of Scrum methodology, with hands‑on experience using Jira and Confluence.Strong analytical mindset, problem‑solving skills, and ability to work in research‑