Top Artificial Intelligence Jobs in Milan

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 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 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.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

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.

Design, build, and operate an AI/LLM platform and backend services to enable AI-powered features across investment solutions, ensuring production reliability and data governance.

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.

The AI Search Innovation Strategist will enhance SEO practices, lead testing for LLMs, design analytical frameworks, and collaborate across teams to ensure optimal data ingestion by AI models.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As an AI Engineer at Lexroom, you will build full-stack features using Next.js and Python, optimize APIs and databases, and collaborate with teams to enhance legal software products.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

This program involves developing and deploying AI models, collaborating with teams, and working on high-impact products in a structured training program.

The AI Solutions Architect is responsible for designing scalable AI architectures, conducting feasibility assessments, and guiding AI projects from concept to production, ensuring alignment with business and governance needs.

Design and implement AI solutions, collaborate with clients to understand requirements, lead development of machine learning models, and support presales activities.

The Junior Research & Data/AI Engineer will support applied research, develop models, maintain data pipelines, and collaborate with teams on financial products.

Develop and maintain AI and ML algorithms, create data pipelines, collaborate with cross-functional teams, and implement solutions for business requirements.

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.