AI Engineer

8 ore fa

ascoli piceno, marche, Italia Generali Group Tempo pieno
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