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.

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.

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.

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.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

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.

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.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.

Lead product strategy and execution for AIVM's agentic AI and blockchain platform, ensuring technical alignment and market-readiness of the product.

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.

Design and build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers for real-world tools.

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 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.