AI Engineer

1 giorno fa

Rome, Lazio, Italia Generali Group Tempo pieno

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Overview

In this role within Group Data AI and Automation Solutions, you drive cross-group AI initiatives and help scale AI-driven automation and recommendations. You will help design a central platform with reusable analytics services for business units, enabling impactful, data-powered decisions. You'll develop end-to-end AI projects and translate research into production-ready solutions, contributing to a living library of shared algorithms. This position offers the chance to influence large-scale AI programs and collaborate with diverse stakeholders to deliver measurable business impact.

Retribuzione / Benefits

Smart working and flexible hours
Corporate welfare system
Meal vouchers
Supplementary health insurance and discounted policies
Well-being initiatives
Training and development and structured learning paths for technical and managerial growth

Responsabilità

Support project setup and analyze current processes to build a business case and target end-to-end solution design including required models and data
Develop end-to-end AI projects (data preprocessing, model selection, training, evaluation, and code maintenance)
Present project results and performance to business stakeholders
Research cutting-edge techniques and convert research into production, enriching the library of reusable algorithms

Requisiti fondamentali

Master's degree in STEM disciplines (Engineering, Mathematics, Physics, Computer Science)
At least 2 years of experience as a data scientist or AI/ML engineer
Experience designing, developing, and evaluating ML/Statistical models (clustering, classification, regression, forecasting)
Proficiency with at least one programming language (Python, Java, C, etc.)
Strong theoretical and practical knowledge in NLP or Computer Vision techniques
Knowledge of main LLMs (GPT, Claude, Llama, Mistral) and related libraries (LangChain, LLamaIndex) and prompt engineering
Proficiency with Data Science libraries (Pandas, Scikit-learn, NumPy)
Fluent in English
Strong problem-solving, analytical and deductive abilities
Creativity and determination
Teamwork, proactivity, autonomy, commitment, and results-oriented mindset
ML model design, development and evaluation (clustering, classification, regression, forecasting)
Programming in Python, Java, or C
NLP and/or Computer Vision techniques

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