Top Artificial Intelligence Jobs in Italy

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.

The AI Architect will develop and implement enterprise AI strategies, architect solutions, lead AI initiatives, and foster cross-functional collaboration to enhance HBK's digital landscape, ensuring compliance with responsible AI standards.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

The Associate AI Documentation Developer will support solution design, manage technical documentation, utilize AI tools for writing, and ensure document quality.

As an AI Business Consultant, you will identify AI opportunities, translate business challenges into AI solutions, and support digital transformation strategies in the Financial Services industry.

Lead the development of AI/ML systems for real-time applications, mentor teams, optimize performance, and contribute to the AI/ML community.

Lead the LLM team by architecting and managing AI model development, focusing on large-scale conversational intelligence and nuanced moderation strategies.

As the AI Lead, you will build and mentor a multidisciplinary AI team, directing technical execution and architecture of AI systems for robotics, including deep learning and MLOps.

Design and build Python-based AI applications, optimise performance and storage, implement CI/CD and testing, collaborate with clients and distributed teams, and support technical leads to deliver scalable, production-grade solutions.

As a Full Stack Software Engineer, you will design, build, and evolve scalable products integrating AI solutions to secure systems against fraud and cyber threats.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

This internship involves completing internal projects, assisting engineers, learning software, and collaborating with teams on design and data analysis tasks.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Digital & AI Manager supports Gilead's commercial operations by developing an AI framework, executing digital engagement activities, and enhancing training programs. Responsibilities include collaborating with stakeholders and managing digital projects aligned with business strategies.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

The role involves conducting exploratory data analysis, analyzing trends for business opportunities, designing dashboards for AI initiatives, and collaborating with teams to ensure analytical coherence across the AI lifecycle.

The Senior Software Engineer will design, build, and maintain API management software for AI, troubleshoot bugs, optimize performance, and mentor juniors.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

Lead the development of robot policies, focusing on task planning, computer vision, and decision-making in robotics. Mentor teams, drive technical roadmaps, and collaborate on scalable AI solutions.

Design and implement data-oriented processes for managing multi-modal data, build data infrastructure on AWS, and develop data pipelines using various tools.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.