Altro · Turbigo, Lombardia, Italia · · 26.114€ - 39.172€


Descrizione dell'offerta

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.

Responsibilities

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 stakeholders 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

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 unstructured data, and familiarity with databases like SQL, NoSQL

Basic understanding of cloud platforms (Azure, AWS) and their AI/ML services

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