Top Artificial Intelligence Jobs in Madrid

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

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 role entails technical pre-sales support, client engagement, and project initiation in AI solutions, requiring strong technical and communication skills.

The role involves technical sales support, client engagement, project initiation, designing data solutions, and leading strategic assessments in Data and AI.

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

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

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.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The role involves leading a team of engineers in developing and deploying ML/AI solutions, focusing on LLMs on AWS, while ensuring technical execution and team growth.

Develop and improve machine learning models, collaborate with teams, set experimentation roadmaps, and maintain ML models in production.

As a Staff ML Engineer, you'll lead the development of ML tools for game applications, collaborating across teams to implement advanced AI solutions and enhancing game production workflows.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The AI-Native HR Ops Specialist will streamline HR workflows using AI tools, automate tasks, and leverage ATS data for efficient recruiting operations.

Lead the implementation of AI and automation solutions to enhance efficiency and productivity within the company, while managing multiple projects.

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

Lead the architecture and management of AI and data platforms, driving product strategy and ensuring alignment with business goals while overseeing technical product development and delivery.

Lead a team in developing and deploying AI solutions, focusing on machine learning models and AWS architecture while ensuring project alignment with business goals.

As an AI Software Engineer, you'll integrate AI models into applications, improve workflows, and collaborate with teams to enhance automation.

The AI Engineer will optimize AI models, design scalable systems, and collaborate on enterprise AI applications, focusing on production systems and performance.

As a Learning Experience Designer, you will create transformative learning experiences by integrating psychology, AI, and storytelling, crafting engaging courses, developing AI interactions, and iterating based on learner feedback.

The role involves developing AI solutions for financial institutions, focusing on generative AI and LLM-based applications like chatbots, document processing, and voice solutions. You'll work with AWS services to improve customer interactions and compliance.