Top Artificial Intelligence Jobs in Italy

The Italian Dubbing AI Adaptor will adapt scripts for dubbing, generate audio using AI tools, correct translations, evaluate voice quality, and manage client feedback.

The AI Senior Business Consultant leads AI-driven strategies in the Financial Services sector, translating business challenges into AI solutions and guiding organizational transformations through insights and collaboration with stakeholders.

As a Customer Support Expert, you'll assist brands by offering customer support via social media and email, responding to inquiries, and ensuring positive customer experiences.

Design and implement computer vision and machine learning algorithms from POC to prototype, build training pipelines and testing, run experiments, document results, lead research, and assist recruiting.

Join ZURU Tech as a Full-Stack Engineer to design and develop AI applications, integrating AI models with web interfaces, collaborating across teams to enhance product functionality.

The Process Engineer will develop AI techniques for image analysis, design software for machine vision, and evaluate algorithms in the Photonics Industry.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

As a Tier 3 Support Engineer, you will resolve complex technical issues, work with engineering teams to enhance products, and document solutions.

Lead Nexi's enterprise-wide AI transformation program, collaborate with stakeholders, promote ethical AI use, and monitor AI trends for effective implementation.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

As a Staff Data Analyst - AI Tooling, lead the assessment and implementation of BI tools, enhance data accessibility, and drive analytics efficiency across teams.

Design, develop, and maintain an agentic AI platform; build data pipelines and integrate structured/unstructured data with relational and vector databases; implement and deploy LLM-based solutions (fine-tuning, prompting, RAG); manage production AI systems including monitoring, security, compliance, and documentation.

Design, build, and operate LLM-powered systems in production, focusing on architecture, optimization for latency and cost, and evaluation frameworks.

As an AI Senior Business Consultant, you will leverage AI technologies to drive strategic business opportunities, analyzing trends, and facilitating AI-driven transformations across multiple industries.

The role involves designing AI solutions, developing machine learning models, collaborating with clients, and participating in presales activities.

Support the design and implementation of AI solutions, collaborating with teams, and gaining hands-on experience in machine learning and NLP.

Design and implement AI solutions using ML models and NLP, collaborate with teams, and support business process improvement through AI.

The Senior DevOps Engineer will design and maintain cloud infrastructure, automate deployment processes, and ensure system security and compliance, collaborating with developers to enhance performance and reliability.

As a Senior SecOps Engineer, you will design and operate security controls, manage IAM and RBAC, implement key management, and lead incident response at Libra.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The role involves building and operationalizing AI and data solutions, focusing on scalable data systems and machine learning integration within enterprise workflows, collaborating with teams to deliver solutions.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.