Top Artificial Intelligence Jobs in Madrid

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.

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 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 Lead Product Designer for Applied AI will design AI-native experiences and collaborate with engineering to create innovative product workflows. Responsibilities include defining AI interaction patterns, prototyping user flows, and ensuring product usability.

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 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 a Chatdesk Expert, you'll provide customer support through social media and email, ensuring great experiences, flexible schedules, and work from anywhere.

Build, operate, and maintain internal AI-driven automations (primarily in n8n) to connect tools, data, and LLMs. Ensure reliability, scalability, security, and usability while partnering with Product, Engineering, and business teams to reduce manual work and standardize best practices.

Lead architecture and design of cross-team AI systems, define engineering and operational best practices, ensure reliability and scalability, drive LLM and AWS-based solutions, mentor engineers, and represent technical expertise in hiring and community events.

Lead a team to develop large-scale AI systems, focusing on Generative AI and LLM initiatives, while managing projects from inception to delivery.

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

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.

Lead the AI & Data department: develop, train, validate, and deploy ML/DL models including forecasting and generative AI; build and maintain robust data pipelines, ETL, and BI dashboards; manage model versioning, monitoring, and production retraining.

As an AI Product Engineer, you will design and develop AI agent workflows, evaluate technology stacks, and prototype innovations to enhance educational materials. Collaboration and documentation are key to sharing AI knowledge within the team.

The CRO Manager will optimize conversion rates through AI-driven experimentation and analysis, managing end-to-end CRO cycles and collaborating with engineering teams.

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.

The Senior Director Analyst leads AI business strategy, advises clients on AI adoption, and produces thought-provoking content and research insights to drive business outcomes for technology leaders.

Drive AI product adoption and sales growth, achieve sales quotas, nurture customer relationships, and collaborate with sales teams, leveraging deep AI knowledge.

The Tech Lead will manage and enhance the architecture, training, and deployment of AI models, ensuring high standards of moderation and context management while driving substantial user impact.

The role involves deploying AI solutions, optimizing RAG pipelines, collaborating with Fortune 500 clients, forecasting opportunities, and leading demos.