Top Artificial Intelligence Jobs in Milan

As an AI Business Consultant, you will drive AI adoption strategies, analyse industry trends, and facilitate transformation initiatives for clients across various sectors.

The Legal Technology Advisor will enhance legal service delivery by promoting technology solutions, collaborating with lawyers, and identifying improvement opportunities.

The Generative AI Engineer will define strategies for Generative AI, design and build innovative products, and mentor engineers, focusing on AI transformation for financial services clients.

The VP Analyst leads Gartner's AI strategy, creating insights, conducting analysis, advising clients, and mentoring team members. They engage with clients to address market trends and challenges.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

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 Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

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.

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 Founding AI Full-Stack Engineer will build end-to-end features, work with LLMs, and collaborate directly with founders in a fast-paced startup environment.

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

The Senior AI Engineer will design and develop machine learning applications, manage data science projects, ensure quality standards, and mentor team members throughout the product development lifecycle.

The Tech Lead Engineering, AI is responsible for shipping features quickly while maintaining quality by leveraging AI tools for development. They collaborate with cross-functional teams, make technical decisions, and ensure robust product delivery from design to deployment.

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

The Backend Engineer will build and scale backend services and APIs, improve system performance, and design scalable architectures in a collaborative environment using AI coding tools.

The Founding Fullstack Engineer will develop and ship end-to-end product features across frontend and backend, optimize user experience, and integrate AI capabilities while ensuring system performance and scalability in a fast-paced startup environment.

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

The Back-End Engineer, AI develops robust backend solutions using AI tools, collaborates with teams, and ensures high-quality product delivery while maintaining coding standards and performance optimization.

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.

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

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 Solutions Architect will engage in AI technology projects, providing technical expertise, collaborating with teams, and advocating for customer needs within F5's AI solutions.

As a Golang Engineer, you will design, develop, and optimize distributed backend systems, focusing on performance, scalability, and P2P communication. You'll collaborate in an Agile environment and improve backend infrastructure while mentoring fellow engineers.