AI & Data Science Engineer
Pubblicato il 23-08-2026 - Dxc Technology in Cremona
Job Description:DXC Technology is looking for a Data Scientist to support AI and Generative AI projects, contributing to practical solutions and improving business processes through ML models, NLP and intelligent automation, within the Data & AI team based in Milan.Key ResponsibilitiesContribute to the design and implementation of AI solutions, including machine learning models, NLP, and computer vision applicationsCollaborate with senior team members to understand client requirements and translate them into practical AI solutionsSupport the direct relationship with clients/stakeholders for requirements gathering and solution validationSupport pre-sales activities, including preparing technical materials and contributing to client presentationsStay up to date on AI trends and emerging technologies, applying knowledge to support solution developmentContribute to maintaining best practices and methodologies within the AI & Data Science teamTake part in AI solution projects,
gaining hands-on experience in real client environments and progressively growing in autonomy.RequirementsProven experience in Gen AI projects.Ability to translate business requirements into practical AI solutions, including design and implementation.Deep expertise in core Generative AI technologies, including Retrieval-Augmented Generation (RAG), Prompt Engineering, Observability, and AI Guardrails.Extensive experience with enterprise-grade GenAI development frameworks and platforms, including LangChain, LangGraph, LiteLLM, and Langfuse.Proven experience in addressing AI governance, GDPR, and EU AI Act compliance requirements throughout the AI solution lifecycle.Good knowledge of machine learning frameworks and libraries (Python, TensorFlow, PyTorch, Scikit-learn, etc.)Strong proficiency in AI-powered software development and code generation tools.Extensive experience with enterprise software delivery practices and platforms, including source code management, CI/CD pipelines, and automated deploym