Curricular Internship

09 ott - Milano
Unicredit

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.
As an intern within our Group AI Products team, you will support the area to carry out the following activities:
- 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
- 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, Kubernetes) is a plus.
- Strong analytical mindset, problem-solving skills and familiarity with data visualization, SQL or Big Data technologies.
- Proactive, detail-oriented, and eager to learn, with excellent communication skills for technical and

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