Top Artificial Intelligence Jobs in Italy

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

The Lead Generative AI Specialist will design and develop generative AI models, drive research, and integrate advancements into existing systems, collaborating with cross-functional teams.

The role entails advancing AI projects, optimizing workflows with LLMs and generative AI, and collaborating with teams to meet business needs.

Oversee research, planning, execution, and delivery of product launches for EverAI's AI platform, ensuring project goals are met and user needs are satisfied.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

As a Senior AI Engineer, you will deliver AI solutions, collaborate with teams to translate user needs, and improve data processes while mentoring juniors.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

The AI Engineer will research, prototype, and implement AI solutions, collaborating across teams and contributing to internal tools while fostering an AI-first culture.

Join ZURU Tech as a Full-Stack Engineer to design and develop AI applications, integrating AI models with web interfaces, collaborating across teams to enhance product functionality.

The Full-Stack Engineer will design, develop, and maintain AI applications, integrating AI services into user-facing applications and collaborating with various teams.

As an AI Engineer, you will research, prototype, and implement AI solutions, focusing on projects in Generative AI, Machine Learning, and Computer Vision, collaborating with cross-functional teams to create impactful user experiences.

As a Lead Software Engineer, you'll guide the Neural AI team in AI-driven localization, focusing on machine translation, foster team autonomy, mentor engineers, and represent the team in cross-functional discussions while ensuring impactful outcomes.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Business Development Manager will drive AI initiative sales, manage pipelines, and foster partnerships while ensuring revenue generation and achieving growth targets.

Lead the EU integration and partnership strategies for AI opportunities, focusing on building relationships and compliance across European technology markets.

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.