Top Artificial Intelligence Jobs in Rome

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.

Manage the vision, strategy and execution of a cloud services platform for AI/ML. Engage with technical teams to prioritize features, ensure product delivery, and expand the ecosystem.

The Developer Relations role involves engaging and educating the developer community, creating technical content, and advocating for the company's technology while collaborating with cross-functional teams to enhance developer experience.

The role involves designing AI solutions, developing machine learning models, collaborating with clients, and participating in presales activities.

The AI Search Innovation Strategist will drive brand performance in search through testing LLMs, optimizing architecture for AI ingestion, and collaborating with Product and Engineering teams.

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.

The Italian Dubbing AI Adaptor will adapt scripts for dubbing, generate audio using AI tools, correct translations, evaluate voice quality, and manage client feedback.

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.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

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 Principal Engineer will define architecture and strategy for Redis capabilities in AI, design scalable systems for vector search, lead complex initiatives, and mentor engineers.

Design challenging mathematical problems for AI training, ensuring one verifiable answer per problem and a complete solution process. Requires strong mathematical and programming skills.

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

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 role involves auditing and evaluating AI-generated conversations, focusing on naturalness, utility, and audio quality, following specific guidelines.

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.

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.

The Italian Dubbing AI Adaptor will manage dubbing projects, lead casting, drive script adaptation, and ensure quality assurance in dubbing.

The role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating with technical experts. Responsibilities include publishing findings and influencing next-gen architecture designs.

The AI Architect will develop and implement enterprise AI strategies, architect solutions, lead AI initiatives, and foster cross-functional collaboration to enhance HBK's digital landscape, ensuring compliance with responsible AI standards.

As an AI Expert, you will review and evaluate AI-generated outputs, ensuring cultural relevance and accuracy while providing structured feedback. This role requires attention to detail and the ability to generate or assess content depending on project needs.