Top Artificial Intelligence Jobs in Naples

The Digital Learning Specialist will design and deliver digital learning experiences, promoting adoption across the organization and leveraging new technologies and AI tools.

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.

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 role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

The AI Platform Engineer will build infrastructure to evaluate and improve AI systems, focusing on observability, diagnostics, and enhancement of performance.

The Senior Product Marketing Manager, AI will lead product marketing for AI capabilities at Circle, focusing on messaging, adoption strategies, and customer education.

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 a Customer Support Expert, you'll assist brands by offering customer support via social media and email, responding to inquiries, and ensuring positive customer experiences.

Design and implement computer vision and machine learning algorithms from POC to prototype, build training pipelines and testing, run experiments, document results, lead research, and assist recruiting.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

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.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

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.

Lead Nexi's enterprise-wide AI transformation program, collaborate with stakeholders, promote ethical AI use, and monitor AI trends for effective implementation.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

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 an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

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.

Design and build backend services that integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to deploy AI-powered tools, implement API integrations, and manage ETL pipelines for unstructured data.

Lead the LLM team by architecting and managing AI model development, focusing on large-scale conversational intelligence and nuanced moderation strategies.

Design and build Python-based AI applications, optimise performance and storage, implement CI/CD and testing, collaborate with clients and distributed teams, and support technical leads to deliver scalable, production-grade solutions.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.