Ai Engineer

26 set - Volpiano
Assicurazioni Generali

OverviewIn 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 / BenefitsSmart working and flexible hoursCorporate welfare systemMeal vouchersSupplementary health insurance and discounted policiesWell-being initiativesTraining and development and structured learning paths for technical and managerial growthResponsabilitàSupport project setup and analyze current processes to build a business case and target end-to-end solution design including required models and dataDevelop end-to-end AI projects (data preprocessing, model selection, training, evaluation,



and code maintenance)Present project results and performance to business stakeholdersResearch cutting-edge techniques and convert research into production, enriching the library of reusable algorithmsRequisiti fondamentaliMaster's degree in STEM disciplines (Engineering, Mathematics, Physics, Computer Science)At least 2 years of experience as a data scientist or AI/ML engineerExperience 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 techniquesKnowledge of main LLMs (GPT, Claude, Llama, Mistral) and related libraries (LangChain, LLamaIndex) and prompt engineeringProficiency with Data Science libraries (Pandas, Scikit-learn, NumPy)Fluent in EnglishStrong problem-solving, analytical and deductive abilitiesCreativity and determinationTeamwork, proactivity, autonomy, commitment, and results-oriented mindsetML model design, development and evaluation (clustering, classification, regression, forecasting)Programming in Python, Java, or CNLP and/or Computer Vision techniques

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