ppThe CIM Competence Center is the national reference hub for technology transfer and for the dissemination of skills related to the manufacturing and service industries. /ppCIM is a network composed of Politecnico di Torino and the University of Turin, together with 22 partner companies, making the expertise of industrial leaders available to companies that want to innovate and remain highly competitive in the market. /ppCIM provides specialized services on enabling digital technologies for Manufacturing 4.0 and offers strategic and operational support for industrial development through the dissemination of services and advanced training courses for company managers. /ppSupport for innovation and technology transfer programmes within the Digital Factory area through the design, development and validation of advanced Artificial Intelligence solutions intended for stakeholder companies and partners within the CIM ecosystem. /ppThe role will be involved in the definition and implementation of industrial research, experimentation and technology adoption projects, with particular focus on the application of the most advanced Artificial Intelligence techniques to production, operational and decision-making processes. Activities will include requirements analysis, solution design, prototype development and support for experimentation mainly in industrial contexts, working closely with companies, technology providers, research centres and industrial partners. Areas of particular interest include: /pulliArtificial Intelligence, Machine Learning and Deep Learning; /liliGenerative AI and Large Language Models (LLM); /liliNatural Language Processing (NLP) and advanced conversational systems; /liliRetrieval-Augmented Generation (RAG); /liliAgentic AI, AI Orchestration and multi-agent systems; /li /ulh3Main activities /h3ulliDesign and development of AI/Gen-AI-based solutions for industrial contexts, such as the design of RAG systems and AI Agents aimed at process automation and decision support. /liliDefinition of end-to-end AI architectures, including data acquisition, modelling, knowledge retrieval and orchestration. /liliDevelopment of prototypes,



proof-of-concepts and technology demonstrators within innovation and applied research projects. /liliSupport for the industrial adoption of developed solutions, from experimentation through to operational deployment. /liliTechnical coordination and monitoring of activities carried out by technology partners and suppliers. /liliTechnology scouting, state-of-the-art analysis and assessment of emerging technologies in the AI field. /liliParticipation in the definition and implementation of collaborative projects with companies, research bodies and institutions. /liliDelivery of training courses, workshops and dissemination activities for companies, professionals and stakeholders on Artificial Intelligence, Generative AI and digital transformation topics. /li /ulh3Requirements /h3ulliDegree in Computer Engineering, Computer Science, Data Science, Automation Engineering, Electronics, Telecommunications or related fields. /liliBackground in software development, system integration and design of complex digital solutions. /liliKnowledge of programming languages such as Python, Java, C# or equivalent. /liliKnowledge of the main paradigms, frameworks and methodologies of Artificial Intelligence, Machine Learning and Deep Learning. /liliFamiliarity with technologies and platforms for the development of Gen-AI, LLM and NLP-based applications. /liliAbility to analyse business needs and translate them into concrete and sustainable technological solutions. /liliExperience or aptitude in managing complex projects. /liliStrong communication skills and willingness to provide training and knowledge transfer. /liliExcellent knowledge of Italian, both written and spoken. /liliGood knowledge of English, both written and spoken. /liliExcellent proficiency with the main office automation tools. /liliExperience in technological innovation and/or technology transfer. /liliSkills in Data Engineering and Data Management.



/liliKnowledge of IT and OT infrastructures. /liliKnowledge of Machine Vision. /liliPrevious experience in delivering specialized training. /liliKnowledge of public funding mechanisms at local, national and European level. /li /ulh3Location /h3ulliTurin office or Cuneo office. /li /ulh3Experience /h3pThe selection is open to profiles with different levels of seniority, including recent graduates and professionals with consolidated experience. Professional experience relevant to the role, technical skills possessed, and the level of autonomy and responsibility developed will be assessed. /ph3Compensation and contract type /h3pExpected gross annual salary range for the position: €28,000–€42,000. Employment classification under the Italian “Metalmeccanico” standard contract. /ppPlacement within the salary range and the corresponding employment level will be determined on the basis of objective and neutral criteria, including relevant professional experience, technical skills, level of autonomy, responsibility and ability to manage complex projects. /pulliA structured training and mentoring path supported by experienced specialists. /liliInvolvement in real industrial projects across manufacturing and logistics. /liliAccess to professional software and instruments, industrial laboratories, and innovative digital technologies. /liliOpportunities for continuous learning and specialization. /liliAn interdisciplinary and collaborative working environment, with flexibility in accordance with CIM’s hybrid-working policy. /liliCorporate agreements and buoni pasto. /li /ulh3Inclusion and equal opportunities /h3pConsistently with its commitment to inclusion, valuing diversity and equal opportunities, CIM promotes an open, collaborative and inclusive work environment where every person can express their potential, actively contribute to common goals and feel respected and valued regardless of gender, age, origin, orientation, ability, belief, or personal and professional background. /ppThe selection process will be conducted in accordance with equal opportunity and non-discrimination principles. /p /p #J-18808-Ljbffr

📌 AI SPECIALIST (Torino)
🏢 CIM Competenze per Industria e Manifattura
📍 Torino