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 a AI ENGINEER Our 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 Engineer will 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 responsibilities Design, 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 experiences Evaluate AI/LLM technologies (e.g., OpenAI, Claude, open source, etc.) and define the most relevant use cases Build training, tuning, and deployment pipelines for models Monitor, optimize, and maintain models in production Support R&D activities and experimentation with new approaches Technical requirements 3 years of experience as a Machine Learning Engineer, Data Scientist, or AI Engineer Excellent 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 code Good command of English Nice to have Experience with open source LLMs (e.g., Llama, Mistral, Mixtral, etc.) Knowledge of data engineering and ETL pipelines Experience in SaaS environments or CMS / MarTech platforms Contributions to open source projects Strengths of the offer A talented, innovative team A product with strong ambitions in AI Direct collaboration with the leadership team Flexible working modes (remote or hybrid) Possibility of stock options Work location: Full Remote, hybrid, or on-site (Milan) Salary: Approximately 45 / 60 K depending on the candidate's expertise and added value J-18808-Ljbffr