Junior AI Specialist
Pubblicato il 20-10-2026 - Generali Group in Novara
Within the Data Management function in Generali Investments Holding, we are looking for a talented and proactive resource to join the team. As AI Specialist, you will collaborate to research, design, and implement AI models using state-of-the-art techniques. You will be involved in data collection, model training, and performance evaluation, while gaining hands‑on experience in AI/ML technologies. This is a great opportunity for someone passionate about artificial intelligence, data science, and innovative technology solutions to contribute to real-world projects, learn from industry professionals and fast grow as an expert in the financial sector. The successful candidate will perform the following activities:
* Collaborate with the Data Management team to design and develop Proof of Concepts for AI/ML and Generative AI applications * Assist in gathering and preprocessing large datasets to train and fine‑tune AI models * Research and experiment with various AI/ML techniques to improve model performance and efficiency * Analyze and evaluate the performance of the AI models * Present regular progress reports and findings to stakeholder and senior team members * Support in integrating AI solutions into the company’s existing data infrastructure * Contribute to documentation of processes, experiments, and outcomes for future reference * Communicate effectively within the team and across departments to ensure alignment on data initiatives and promote data driven culture Requirements Our ideal candidate will meet the following requirements: * Currently pursuing or recently completed a degree in Engineering, Computer Science, Math, Statistics, Artificial Intelligence, Machine Learning, or a related field * Passion for AI/ML with knowledge of generative models * Proficiency in Python and experience with AI/ML libraries (e.g., TensorFlow, PyTorch) * Basic knowledge of version control systems (e.g., Git) * Experience with data preprocessing, working with structured and unstr