Top Artificial Intelligence Jobs in Madrid

The Technical Product Manager at Dataiku is responsible for defining user stories and technical specifications for the Data Science Platform, focusing on generative AI and machine learning. This role involves managing the product backlog, coordinating delivery of features, and collaborating with cross-functional teams, ensuring alignment between market requirements and engineering capabilities.

As a Senior Backend and AI Engineer at Aircall, you will design and implement AI features and contribute to the development of business-critical services using a variety of back-end technologies. Your role includes mentoring teammates, engaging in requirements analysis, and optimizing product performance, all while ensuring quality and security in solutions deployed on AWS.

The Senior AI/ML Engineer will conduct research, engage in pre-sale activities, and develop solutions using classical ML algorithms and PyTorch for various tasks such as document classification and employee matching. Responsibilities include data collection, implementing Computer Vision algorithms, and working on healthcare-related projects.

As a Senior AI Engineer, you'll design, develop, and deploy LLM-powered chatbots and automation tools, train large language models, and establish scalable AI infrastructure. You'll work with cross-functional teams, rapidly prototype AI features, and stay updated on advanced NLP technologies to enhance system capabilities.

The Senior Director will analyze market trends in high-performance computing, AI, and quantum computing, providing actionable insights to clients. Responsibilities include conducting research, publishing findings, and communicating with senior executives. The role requires deep expertise in AI and related technologies, focusing on helping organizations leverage emerging technologies effectively.

Outlier seeks experienced software engineers to assist in training generative AI models. Responsibilities include crafting computer science questions and evaluating AI-generated code. This remote and flexible freelance position does not require prior AI experience.

Join PandaDoc as a Senior Python Engineer focused on developing a scalable AI platform. Responsibilities include creating end-to-end systems, optimizing multi-model support for LLMs, collaborating with teams, and addressing real-world AI challenges. The role prioritizes architectural knowledge and product impact for AI solutions.

The position involves reading and assessing Spanish text produced by AI, ranking AI-driven responses, and creating short stories in Spanish. It aims to improve AI models with human feedback.

The AI/ML Specialist Solutions Architect at Nebius designs scalable AI solutions for clients, resolves technical challenges, and manages large-scale AI deployments utilizing Nebius services. Responsibilities include building customer relationships, delivering technical presentations, and collaborating with engineering teams.

As an Integrations Engineer at OfferFit, you will design and implement modular software components for a machine learning platform, focusing on creating integrations with various marketing platforms. Your responsibilities include optimizing system performance, enhancing integration solutions, and collaborating with stakeholders to translate use cases into features while ensuring reliability and scalability.

The Staff Machine Learning Engineer will lead the design and development of Generative AI solutions for Firefox, including building infrastructure for LLMs and validating models. This role requires collaboration with product management and engineering teams to ensure models perform efficiently and reliably.

As a Senior AI/ML Engineer at Nansen, you will develop and monitor AI models to analyze blockchain data, collaborate with cross-functional teams to enhance the platform's analytical capabilities, and mentor junior engineers. Your work will significantly influence decision-making for crypto investors and drive the technology forward.