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Curricular Internship

Pubblicato il 12-08-2026 - HypoVereinsbank in Milano

Apply as Curricular Internship - Group Data & Artificial Intelligence
General Information
Job ID

21211

Company

UniCredit S.p.A

Competence Line

Digital

Country

Italy

City

MILANO

Job Type

Working Students, Interns & others

Functional area

Digital & Data

Working time model

Full-time

Contact

We are the Artificial Intelligence department within the Data & AI team under the Digital Department of UniCredit S.p.A.

Our team, Group AI Products, is responsible for designing, developing and scaling up analytical and AI-driven products while identifying innovation opportunities for the Group.

Aligned with UniCredit's Group Data & Artificial Intelligence mission, we identify and explore innovation opportunities through collaborations and knowledge-sharing initiatives, we design foundational assets on unified data platform and cloud technologies, and develop advanced data products leveraging AI, data science, and cognitive computing.

What you'll be doing
- Assist in deploying AI models from development to production and implementing scalable MLOps standards.




- Collaborate with Data Scientists to industrialize models and optimize inference pipelines.
- Explore and enhance Generative AI technologies (e.g., GPT-4, Bard) through prompt engineering techniques.
- Support end-to-end management of AI-driven digital products, focusing on innovation and customer experience.
- Contribute to cross-functional projects leveraging AI for banking solutions and strategic decision-making.
- Prepare top-management reports and maintain project documentation for impactful business initiatives

What you'll need to succeed
- Bachelor’s/master’s degree in STEM fields (e.g., Engineering, Computer Science, Physics, Mathematics, Statistics).
- Basic knowledge of machine learning workflows, AI and programming languages (Python is a plus).
- Interest in Generative AI and familiarity with Large Language Models (LLMs) and MLOps principles; experience with related platforms (e.g., Docker, Kub

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