Internship Machine Learning Engineer
Salva questo lavoro e mantieni la tua ricerca organizzata
Crea un account gratuito per salvare lavori, creare avvisi e tornare a questa inserzione dalla tua dashboard.
Continuando accetti i nostri Termini & Informativa sulla privacy.
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;
- 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)
- 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
- 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