Top Artificial Intelligence Jobs in Milan

The role combines designing AI/ML architectures and hands-on engineering on AWS. Responsibilities include client requirements gathering, cloud architecture design, and implementing CI/CD for AI workloads.

As a Senior Full-Stack Software Engineer, you will design and build AI-driven solutions, collaborate within an Agile team, and ensure high-quality software delivery.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.

Design and implement services for a GPU inference platform, focusing on performance, scalability, and API development for AI models.

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 Senior Python Engineer will develop and deploy AI systems, optimize LLM performance, and collaborate with teams to deliver impactful solutions.

The Senior Automation and AI Manager will drive the efficiency of Airalo Support by leveraging AI and automation tools to enhance customer support operations, focusing on automating workflows and improving chatbot performance.

As a Senior Software AI Engineer, you will implement AI-driven solutions, integrating various technologies, and working on production environments for automation and data integration tasks while ensuring security and compliance.

Lead the engineering team for the Kong AI gateway, focusing on technical leadership, team management, and customer experience. Oversee performance reviews, mentoring, and cross-department collaboration.

Lead AI strategy and execution at Pigment, mentor a team in AI and data science, and drive AI integration across the organization.

Design and implement backend services integrating LLM APIs and RAG frameworks, focusing on system reliability and AI-driven features.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

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

The Machine Learning Engineer will architect and develop an AI platform for scientific workflows, integrating autonomous agents, and collaborating with cross-functional teams on ML/AI systems.

Research and implement physics-informed AI algorithms and workflows, supervise teams, publish research, and collaborate for Autodesk's design and engineering tools.

The AI/ML Engineer will develop and maintain AI algorithms, create data pipelines, collaborate on product features, and ensure a high-quality customer experience.

The AI Research Scientist will drive advancements in AI through generative modeling, reinforcement learning, and multimodal reasoning, contributing to impactful research and publications.

The Analyst will research and provide insights on AI, ML, and Data Science, advising clients and supporting sales with high-value presentations and mentorship.

The Staff Product Manager will lead product strategy and execution for the AI-powered Managed Detection and Response service, driving innovation and market fit while collaborating with cross-functional teams.

As an AI Research Engineer, you'll design and implement systems coordinating large language models with real-world tasks, creating novel prompting strategies and production-ready systems in TypeScript while collaborating with various teams.

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.

Join Welo Data's global contributor network for flexible remote projects involving AI data annotation, evaluation, and prompt creation.

Lead and develop an AI-native engineering organization, focusing on engineering excellence, talent development, and automating workflows for financial services clients.

Lead a team of engineers in developing ML solutions, focusing on LLMs and AWS cloud services, while managing projects and fostering team growth.

The Head of AI will shape product security solutions using cutting-edge AI, manage development processes, and lead a team to improve application security.