Selection 4.0, a technologically advanced company specializing in the search and selection of Middle and Top Management profiles at both national and international levels, is seeking aAI ENGINEEROur client is a rapidly growing Tech Company preparing for an ambitious scale-up phase.Their flagship product, unique and pioneering, is already widely marketed in Italy and the US, revolutionizing its industry sector.The selected AI Engineerwill have a strong background in Machine Learning and NLP, joining the product team to contribute to the development of intelligent features within the client's platform.Their work will directly impact user experience and the efficiency of digital content creation, organization, and publication.Main responsibilitiesDesign, develop, and integrate AI/ML models into the product (NLP, content suggestion, automatic tagging, etc.)Collaborate with the product and development teams to create scalable and high-performing AI-driven experiencesEvaluate AI/LLM technologies (e.g., OpenAI, Claude, open source, etc.) and define the most relevant use casesBuild training, tuning, and deployment pipelines for modelsMonitor, optimize, and maintain models in productionSupport R&D activities and experimentation with new approachesTechnical requirements3+ years of experience as a Machine Learning Engineer, Data Scientist, or AI EngineerExcellent knowledge of Python and major ML libraries (scikit-learn, PyTorch, TensorFlow, Hugging Face)Hands-on experience with NLP models (LLM, embeddings, fine-tuning)Knowledge of MLOps tools and workflows (model versioning, serving, monitoring)Ability to write clean, documented, production-ready codeGood command of EnglishNice to haveExperience with open source LLMs (e.g., Llama, Mistral, Mixtral, etc.)Knowledge of data engineering and ETL pipelinesExperience in SaaS environments or CMS / MarTech platformsContributions to open source projectsStrengths of the offerA talented, innovative teamA product with strong ambitions in AIDirect collaboration with the leadership teamFlexible working modes (remote or hybrid)Possibility of stock optionsWork location:Full Remote, hybrid, or on-site (Milan)Salary:Approximately 45 / 60 K depending on the candidate's expertise and added value
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