Top Artificial Intelligence Jobs in Naples

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As Lead AI Architect, you will design AI foundations for automation-focused products, oversee multi-agent systems, and lead technical direction for scalable AI architectures.

As Head of Data Engineering, you'll lead the design and implementation of a reliable data platform, managing a team and ensuring data quality while integrating with AI and product teams.

The role involves selling FICO's SaaS solutions, managing enterprise accounts, and collaborating with clients to drive sales growth in financial services.

Welo Data seeks individuals fluent in Italian for remote roles in data annotation, evaluation, and prompt creation for AI, focusing on inclusivity.

As a Staff Backend Engineer, you'll build Python web services, lead technical projects, and mentor engineers while driving AI integration and system performance optimization.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Senior Solutions Consultant engages with financial institutions to deliver the RiskOps platform, managing technical sales discussions and proposal submissions while addressing client needs through solution design.

The AI Solution Architect at EisnerAmper leads the design and implementation of AI solutions, working with clients to develop tailored strategies for various industries. They ensure integration of AI systems and adhere to responsible AI practices.

Develop and maintain scalable backend services for generative AI applications, focusing on Python and AWS integration, while collaborating with teams.

The AI Backend Python Engineer will design and develop backend systems for generative AI applications, overseeing API delivery and AWS infrastructure while mentoring junior engineers.

The AI Backend Python Engineer will lead the architecture for AI backend systems, focusing on integration, design, and mentoring engineers while ensuring performance and scalability across platforms.

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

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.

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

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

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.

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.

Lead the development of LLM-powered solutions, ensuring scalability and security. Oversee AI system integration and collaboration with various teams.

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.