We are looking for a Generative AI Specialist to join our Technology and Digital function in SW&Analytics Lab team. The candidate will be responsible for analyzing new project requirements, defining feasibility studies, and leading the design and development of Generative AI solutions. They will define technical guidelines, development methodologies, and validation plans, while coordinating cross-functional teams to ensure project success. The role also involves supporting business functions in identifying use cases and KPIs, and collaborating with internal and external partners to define optimal software architectures and infrastructures. Your Responsibilities: Analyze requirements about new Projects, define a feasibility study and, according to that, prepare, in coordination with the Generative AI and AI Innovation team Leader, a related time and cost estimation. Define the technical guidelines on the project contents and lead the different project development phases (concept definition, concept selection and design) Define a detailed development and validation plan methodology and coordinate with the other involved teams the activity prioritization. Support the Business functions in identifying the Uses Cases and the Project KPI’s Collaborate with internal and external teams to define best software architecture and infrastructure based on application requirements Your Profile: Essential: Bachelor-master’s degree in computer science, mathematics or other quantitative fields Familiarity with Transformer, GAN, Diffusion and VAE architectures Deep knowledge of the State Of The Art LLM models Demonstrated experience in Gen AI tool development including deployment and validation of e.G. chatbot, doc generation, RAG, multi modal RAG Experience in modern software development and deployment Familiar with State Of The Art ML libraries e.G. sklearn, PyTorch, Tensorflow Good knowledge in LLM orchistration framework e.G. langchain, llamaIndex Good experience in vector databases e.G. ChromaDB, FAISS Good programming skills on the following languages: Python Experience with cloud environments e.G. AWS / Azure Good Knowledge of software integration in different environments (Windows, Linux) Good inter-personal and communication skills Good knowledge of English (written and spoken) Ability to quickly learn new technologies Preferable: Experience within the automotive industry – 3 years minimum PhD. in machine learning or data science Good knowledge of multivariate Statistics principles