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AI Engineer

Pubblicato il 28-09-2026 - Generali Group in Prato

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

- Lavoro da remoto 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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