Internship Machine Learning Engineer

CRIF, a prestigious and innovative international Group specializing in information solutions, decision models, outsourcing, software, and consulting services to support banks, financial companies, insurance companies, utilities, and businesses at every stage of the customer relationship, is looking for an Internship Machine Learning Engineer for the “Advanced Analytics Global” area.

The “Advanced Analytics Global” area is CRIF's Center of Excellence that combines the best AI, Data Science, and Data Engineering skills. We are an eclectic and rapidly growing group, composed of young people who collaborate in a serene international environment, strongly oriented towards innovation and attentive to the growth of the people who work there, with the right mix of physical interaction and remote collaboration.

What we do:

• we work on large quantities of data, both proprietary and customer data, structured and unstructured

• we apply Data Science techniques and AI technologies to develop and put predictive models into production

• we work on international projects, supporting other CRIF areas or for Clients

• we evolve our clients' business by guiding them in integrating AI into their strategies

• we develop cutting-edge solutions to facilitate the integration of ESG factors, including climatic ones, into investment decisions and credit strategies;

If you want to challenge yourself with the main Italian and European banking institutions to support them in their path of sustainable and ethical innovation and you have the following characteristics, you are the right candidate!

We are looking for a recent graduate or student with the following characteristics:

• degree in Computer Engineering, Mathematical Engineering, Data Science

• knowledge of Python and object-oriented programming

• strong interest in cloud native services

• competence in data analysis and machine learning

• ability to work in a team, propensity for innovation, precision

• good command of the English language (minimum B1/B2 level)

Nice to Have (requirements that, if possessed, are considered a plus):

• knowledge of Dagster or equivalents

• knowledge of the main GNU/Linux distributions

• competence in GIS or text mining

• skills in GenAI

• knowledge of one of the main Python-based web frameworks

The figure will deal with:

• integration of SaaS/PaaS resources into a single functional environment

• use of cloud resources for managing the life cycle of Machine Learning models

• design and implementation of pipelines on platforms for Data Engineering

We are committed to creating a safe and inclusive environment, based on mutual respect and the enhancement of diversity, offering equal employment opportunities to all qualified candidates.

Workplace: Milan (preferred) or Bologna, with the possibility of Smart Working.